Arbitration case multi-dimensional element-based gutta-percha reward calculation method

Abstract

The invention relates to the technical field of information processing, and discloses an arbitration case multi-dimensional element-based guitualer reward calculation method, which comprises the following steps of: according to an arbitration reward calculation request, obtaining a case type, a case state and a case target amount from a case database to generate a case initial element set, matching reward calculation attribute categories, extracting calculation methods to form an attribute calculation mapping table, binding the methods with the categories, identifying cross attribute values, determining an attribute calculation element set, shrinking attribute cross coincidence, matching the attribute calculation element set with a case initial element set item by item, and completing a gutta-perpetuator reward subentry calculation result, so as to obtain a gutta-perpetuator reward subentry calculation result of the gutta-perpetuator reward subentry calculation result of the gutta-perpetuator. And finally, determining a reward attribution attribute combination item by item, generating a traceable arbitration reward calculation chain and outputting a reward calculation result of a guitualer, thereby realizing reduction of attribute cross influence and enhancement of attribute attribution clarity and traceability.

Description

Technical Field

[0001] This invention relates to the field of information processing technology, and more specifically, to a method for calculating arbitrator remuneration based on multi-dimensional factors in arbitration cases. Background Technology

[0002] Arbitrator remuneration calculations typically rely on arbitrator management systems and arbitration case handling systems. Under limited computing power and concurrent access constraints, multi-source structured information is processed and review reference results are output. Existing technologies mostly use processing approaches such as rule condition filtering, multi-dimensional attribute matching, itemized result summarization, and result logging to complete automated review. Its effectiveness is usually based on the premise that the boundaries of rule entries are clear, the attribute scope is consistent, and the historical application changes are gradual. It can generate usable review output results in scenarios where the number of rules is stable and the attribute combinations are simple.

[0003] In actual reward calculation, the continuous expansion of the rule base introduces rule entry attribute overlap and attribute value loss caused by cross-system data synchronization, which are two observable unstable factors. These factors simultaneously affect the processing chain based on rule matching and attribute aggregation, resulting in multiple rules hitting in parallel and generating multiple scoring paths. This makes it difficult for the scoring results to form a stable attribution order and affects the traceability of the results. Therefore, the technical problem that needs to be solved is how to reduce the rule attribute overlap rate and enhance the clarity of attribute attribution in the scoring chain to achieve the traceability of reward calculation.

[0004] In view of this, the present invention proposes a method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases to solve the above problems. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases.

[0006] To achieve the above objectives, the present invention provides the following technical solution: Firstly, a method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases is provided, including: Based on the obtained arbitration remuneration calculation request, the case type, case status, and amount in dispute are obtained from the case database to generate an initial set of case elements; Match the corresponding reward calculation attribute categories to the initial set of case elements, generate a set of case attribute categories, and extract the calculation methods corresponding to each category from the attribute category set to generate an attribute calculation mapping table; The cross-attribute values ​​of each attribute category are identified based on the attribute calculation mapping table, a set of cross-attribute values ​​is generated, and the set of attribute calculation elements is determined based on the set of cross-attribute values. The set of attribute-based calculation elements is matched item by item with the initial set of elements in the case to generate a set of element matching results. The remuneration values ​​are then calculated for each element matching result to obtain the itemized calculation results of the arbitrator's remuneration. Based on the itemized calculation results of the arbitrator's remuneration, the combination of remuneration attribution attributes is determined item by item, and a traceable arbitration remuneration calculation chain is generated based on the combination of remuneration attribution attributes. The arbitrator's remuneration calculation result is output based on the arbitration remuneration calculation chain.

[0007] In some embodiments, a case attribute category set is generated by matching the corresponding remuneration calculation attribute category with the initial case element set, including: Extract the case type, case status, and case amount from the initial case element set to form an element identifier set; Each element identifier in the element identifier set is compared with the category identifier in the preset attribute category definition table, and the corresponding records of element identifiers and category identifiers are recorded. Records corresponding to element identifiers with the same category identifier are grouped to form attribute category group sets; A case attribute category set is formed by grouping the attribute categories together.

[0008] In some embodiments, a method for grouping records corresponding to feature identifiers with the same category identifier to form an attribute category group set includes: Extract the category identifier information contained in each corresponding record from the records of the correspondence between element identifier and category identifier; Based on the category identifier information, the corresponding records are classified item by item, and the corresponding records with the same category identifier are grouped into the same record group; The records corresponding to the element identifiers contained in each record group are uniformly organized to form record groups divided by category identifiers; The records are grouped and summarized to form a set of attribute category groups.

[0009] In some embodiments, the cross-attribute values ​​of each attribute category are identified based on the attribute calculation mapping table, and a set of cross-attribute values ​​is generated, including: Extract the attribute values ​​corresponding to each attribute category from the attribute calculation mapping table to form an attribute category value set; The values ​​in the different attribute category value sets are compared item by item, and the values ​​that appear repeatedly in multiple attribute category value sets are recorded. Repeated values ​​are grouped according to their attribute categories to form a set of cross-attribute values.

[0010] In some embodiments, the values ​​in different attribute category value sets are compared item by item, and the values ​​that appear repeatedly in multiple attribute category value sets are recorded, including: Extract the values ​​from each attribute category's value set one by one, and label each value with its corresponding attribute category identifier; The values ​​from different attribute category value sets are compared item by item, and records with the same values ​​are marked. Collect the attribute category identifiers corresponding to the marked values ​​to form a combination of category identifiers corresponding to repeated values; The repeated values ​​and their corresponding category identifiers are recorded to form values ​​that appear repeatedly in multiple attribute category value sets.

[0011] In some embodiments, determining the set of attribute calculation features based on the set of cross attribute values ​​includes: Extract each cross attribute value from the set of cross attribute values ​​one by one, and determine the multiple attribute category identifiers corresponding to each cross attribute value, and record them as cross attribute category records; Based on the cross-value category records, extract the specific calculation entries corresponding to each attribute category identifier in the attribute calculation mapping table, and mark the correspondence between each attribute category identifier and the calculation entries one by one to form an attribute category calculation mark set; The content of each calculation item in the attribute category calculation mark set is analyzed one by one, and calculation items with common calculation basis are grouped according to the correlation of the content of the items to form a calculation item group set; Each calculated item in the calculated item group set is converted into an attribute calculated element, forming an attribute calculated element set.

[0012] In some embodiments, calculation entries that share a common calculation basis are grouped according to the relevance of their content to form a calculation entry group set, including: Extract the content of each calculated entry from the attribute category calculated tag set and identify common calculated features among the entries; The contents of the calculation items are categorized based on common calculation characteristics; Generate a set of calculation item groups based on the content of the categorized calculation items.

[0013] In some embodiments, the attribution attribute combination is determined item by item based on the calculation results of the arbitrator's remuneration, and a traceable chain of arbitration remuneration calculations is generated based on the attribution attribute combination, including: Extract the specific attribute calculation element identifiers corresponding to each remuneration item in the calculation results of the remuneration item, and form a set of element identifiers corresponding to the remuneration item; Based on the set of element identifiers corresponding to each item of remuneration, each item is compared with the initial element set of the case to determine the specific content of the initial case element corresponding to each item of remuneration, and a remuneration item element comparison record is formed. The attribute calculation element identifiers involved in the compensation item comparison record are combined one by one to form a compensation attribution attribute combination, and the corresponding compensation calculation item value is marked for each attribution attribute combination. Following the order of the arbitration case handling process, the attribution attributes of remuneration, which are marked with specific calculation items, are linked together one by one to form a traceable chain of arbitration remuneration calculation.

[0014] In some embodiments, the attribute calculation element identifiers involved in the compensation item comparison record are combined item by item to form a compensation attribution attribute combination, including: Extract the attribute calculation element identifiers contained in each record from the comparison records of the sub-items of compensation; Based on the position of the attribute calculation element identifier in the remuneration sub-element comparison record, the attribute calculation element identifiers are sorted in order; The attribute calculation element identifiers, after being sorted in order, are combined according to their corresponding reward items to form attribute element combination units; By combining the various attribute elements, a reward attribution attribute combination is formed.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention, based on the arbitration remuneration calculation request, obtains the case type, case status, and case amount from the case database to generate an initial case element set, ensuring that the calculation is carried out with a unified element caliber. Based on this, it matches the remuneration calculation attribute categories to form a case attribute category set, and extracts the corresponding calculation methods for each category to generate an attribute calculation mapping table. Under the one-to-one correspondence between methods and categories, potential overlapping relationships are exposed. The attribute calculation mapping table then identifies cross-attribute values, generating a cross-attribute value set, and based on this, determines the attribute calculation element set. First, the attribute overlap rate is reduced at the element level. Then, the attribute calculation element set is matched item by item with the initial case element set to obtain an element matching result set, and the remuneration value is calculated one by one, forming the arbitrator remuneration item calculation results. Each item can be traced back to a unique element source. Finally, the remuneration attribution attribute combination is determined item by item according to the item results, generating a traceable arbitration remuneration calculation chain and outputting the arbitrator remuneration calculation results. The sequential structure of "element—attribute—method—item—chain" stably improves the attribute attribution clarity of the scoring chain and ensures the traceability of the results. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases in this invention. Figure 2 This is a schematic diagram of the structure of an arbitrator remuneration calculation system based on multi-dimensional factors of arbitration cases in this invention. Detailed Implementation

[0017] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and the accompanying drawings. In the following detailed description, many specific details are set forth to provide a thorough understanding of the exemplary embodiments described. However, it will be apparent to those skilled in the art that the described embodiments may be practiced without some or all of these specific details. In other exemplary embodiments, well-known structures have not been described in detail to avoid unnecessarily obscuring the concepts of this disclosure. It should be understood that the specific embodiments described herein are merely illustrative of the present invention and are not intended to limit the present invention. Furthermore, the various aspects described in the embodiments may be combined arbitrarily without conflict.

[0018] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0019] Example 1

[0020] Figure 1 This disclosure illustrates at least one embodiment of a method for calculating arbitrator remuneration based on multi-dimensional factors of an arbitration case, characterized by comprising: S10: Based on the obtained arbitration remuneration calculation request, retrieve the case type, case status, and case amount from the case database to generate an initial set of case elements; In this embodiment, given a clear request for arbitration remuneration calculation, the basic information necessary for calculating remuneration in arbitration cases is quickly and accurately obtained to form an initial set of case elements. The core of this process lies in effectively extracting multi-dimensional case elements, including case type, case status, and case amount in dispute, to provide accurate data support for subsequent attribute category matching. Case type usually refers to the specific legal classification to which the case belongs, such as labor dispute, contract dispute, or intellectual property dispute. Case status describes the current stage of the case, such as filing status, trial status, or case closure status. Case amount in dispute specifically records the economic amount involved in the arbitration request. In this embodiment, these basic elements are accurately obtained directly from the case database, ensuring the objectivity and authenticity of the initial information.

[0021] For example, regarding the remuneration calculation request in arbitration case number 20240101, this embodiment extracts specific data from the case database, obtaining that the case type is a labor dispute case, the case status is under trial, and the amount in dispute is RMB 500,000. These three pieces of information are then standardized and organized to form a clear set of initial case elements, denoted as a set: {(Case type, Labor dispute case), (Case status, Trial status), (Case amount in dispute, 500,000 yuan)}; It should be noted that, compared with the existing technology that usually relies on manual sorting or isolated extraction of single elements, this embodiment extracts multi-dimensional basic case information in one go and forms a standardized initial element set, providing a unified, standardized and reusable data foundation for subsequent arbitrator remuneration calculation, effectively improving data processing efficiency and reducing the risk of data deviation in the subsequent attribute category matching process.

[0022] S20: Match the corresponding reward calculation attribute category according to the initial set of case elements, generate a set of case attribute categories, and extract the calculation method corresponding to each category according to the attribute category set to generate an attribute calculation mapping table; Based on the initial set of case elements, match the corresponding reward calculation attribute categories to generate a set of case attribute categories, including: Extract the case type, case status, and case amount from the initial case element set to form an element identifier set; Each element identifier in the element identifier set is compared with the category identifier in the preset attribute category definition table, and the corresponding records of element identifiers and category identifiers are recorded. Records corresponding to element identifiers with the same category identifier are grouped to form attribute category group sets; A case attribute category set is formed by grouping the attribute categories together.

[0023] In this embodiment, after obtaining the initial set of case elements, it is necessary to further clarify the attribute category of each element in order to provide a data foundation for the accurate calculation of arbitrator remuneration. The core of this process is to form a clear set of case attribute categories by comparing the initial elements with the preset attribute categories one by one, thereby realizing the accuracy, structure and standardization of arbitration remuneration calculation. Specifically, firstly, from the generated initial set of case elements, three key elements are extracted one by one: case type, case status and case amount in dispute. Each extracted element is recorded as a clear set of element identifiers for accurate matching with attribute categories in the future.

[0024] For example, continuing with the case number 20240101, after obtaining the initial set of elements, elements are extracted to form: {(Case type, Labor dispute case), (Case status, Trial status), (Case amount in dispute, 500,000 yuan)}; Then, based on the pre-built attribute category definition table, each feature identifier is precisely matched with the category identifier, for example, in the attribute category definition table: {(Category Identifier C1, Case Type), (Category Identifier C2, Case Status), (Category Identifier C3, Case Amount)}; In this embodiment, the case type, case status, and case amount in the initial element set are matched one-to-one with the C1, C2, and C3 category identifiers to form: {((Case type, Labor dispute case), C1), ((Case status, Trial status), C2), ((Case amount in dispute, 500,000 yuan), C3)}; After the above comparison is completed, this embodiment, based on the principle of uniformity of category identifiers, groups and organizes corresponding records with the same category identifier. For example, all element identifier records under the same case type category C1 are merged into: {Category Identifier C1: {(Case Type, Labor Dispute Case)}}; Case status category C2 merged into: {Category Identifier C2: {(Case Status, Trial Status)}}; Case amount categories C3 are consolidated as follows: {Category Identifier C3: {(Case Amount in Dispute, 500,000 Yuan)}}; Finally, the above groupings are summarized to form an attribute category grouping set: {{Category Identifier C1: Case Type}, {Category Identifier C2: Case Status}, {Category Identifier C3: Case Amount}}; This will clearly define a set of case attribute categories.

[0025] It should be noted that, compared with the existing technology that usually determines the attribute category based on a single factor or by manual means, this embodiment uses a structured method of precise item-by-item comparison, clear classification and standardized aggregation, which significantly reduces the error rate and data deviation in the attribute category matching process, and ensures that the subsequent arbitration reward calculation process is more standardized, reliable and efficient.

[0026] Methods for grouping records corresponding to feature identifiers with the same category to form attribute category group sets include: Extract the category identifier information contained in each corresponding record from the records of the correspondence between element identifier and category identifier; Based on the category identifier information, the corresponding records are classified item by item, and the corresponding records with the same category identifier are grouped into the same record group; The records corresponding to the element identifiers contained in each record group are uniformly organized to form record groups divided by category identifiers; The records are grouped and summarized to form a set of attribute category groups.

[0027] In this embodiment, the records corresponding to element identifiers with the same category identifier are grouped to form an attribute category group set. This aims to further clarify and unify the management of case elements belonging to the same attribute category, providing a clear data foundation for subsequent arbitrator remuneration calculation. Specifically, firstly, from the corresponding records of element identifiers and category identifiers obtained in the aforementioned steps, the category identifier information explicitly contained in each record is extracted one by one. The purpose of this step is to accurately identify the attribute category to which each initial element of the case belongs, so as to make clear classification in the future.

[0028] For example, in the previous case number 20240101, the corresponding record of element identifiers and category identifiers was as follows: {((Case type, Labor dispute case), C1), ((Case status, Trial status), C2), ((Case amount in dispute, 500,000 yuan), C3)}; In this embodiment, a clear list of category identifiers is obtained by extracting the category identifier information of each record one by one: {C1, C2, C3}; Furthermore, based on the aforementioned clearly defined category identification information, each record corresponding to each element is precisely categorized, and records with the same category identification are grouped together into the same record group, for example: {Category Identifier C1: {(Case Type, Labor Dispute Case)}}; {Category Identifier C2: {(Case Status, Trial Status)}}; {Category Identifier C3: {(Case Amount in Dispute, 500,000 Yuan)}}; Next, this embodiment organizes the element identifier records within the record group corresponding to each category identifier into clear and structured record groups to ensure the standardization and accuracy of subsequent calculations and processing. Finally, the above record groups are summarized to form a complete set of attribute category groups, namely: {{Category Identifier C1: {(Case Type, Labor Dispute Case)}}; {Category Identifier C2: {(Case Status, Trial Status)}}; {Category Identifier C3: {(Case Amount in Dispute, 500,000 Yuan)}}; It should be noted that, compared to existing technologies that typically lack effective unified classification methods for element categories, the method of explicitly extracting category identifiers item by item, standardizing classification, and structurally summarizing in this embodiment makes the formation of attribute category group sets clearer and more structured, effectively improving the reliability of arbitration remuneration calculation, significantly reducing the risk of attribute classification chaos and data inconsistency in subsequent calculation stages, and ensuring the standardization and traceability of the overall processing flow.

[0029] S30: Identify the cross-attribute values ​​of each attribute category based on the attribute calculation mapping table, generate a set of cross-attribute values, and determine the set of attribute calculation elements based on the set of cross-attribute values; Based on the attribute calculation mapping table, identify the cross-attribute values ​​for each attribute category and generate a set of cross-attribute values, including: Extract the attribute values ​​corresponding to each attribute category from the attribute calculation mapping table to form an attribute category value set; The values ​​in the different attribute category value sets are compared item by item, and the values ​​that appear repeatedly in multiple attribute category value sets are recorded. Repeated values ​​are grouped according to their attribute categories to form a set of cross-attribute values.

[0030] In this embodiment, after the construction of the attribute calculation mapping table is completed, it is necessary to further identify the cross-attribute values ​​between different attribute categories in order to provide a basis for determining the subsequent attribute calculation element set. Its core purpose is to reveal the value basis shared by multiple attribute categories in the reward calculation rules, thereby avoiding the repeated inclusion or omission of the same value in the calculation process. Specifically, firstly, all attribute values ​​corresponding to each attribute category are extracted from the attribute calculation mapping table, and the values ​​under the same attribute category are organized into an attribute category value set. This step makes the value range of each attribute category clearly presented in the form of a set.

[0031] For example, continuing with the aforementioned case number 20240101 example, the attribute calculation mapping table records the values ​​corresponding to the case type category, case status category, and case amount category. The set of values ​​for the case type category can be represented as {labor dispute case, contract dispute case}, the set of values ​​for the case status category can be represented as {filing status, trial status}, and the set of values ​​for the case amount category can be represented as {300,000 yuan, 500,000 yuan, 800,000 yuan}. Based on this, this embodiment compares the values ​​in different attribute category value sets item by item and records values ​​that appear repeatedly in multiple attribute category value sets. For example, in the remuneration calculation rules, some calculation entries simultaneously reference both "trial status" and a specific amount range as the calculation basis; therefore, the value corresponding to "trial status" is repeatedly referenced in multiple attribute category related calculations.

[0032] Furthermore, in this embodiment, the values ​​identified as recurring are collected and organized in conjunction with their respective attribute category information. For example, the value "trial status" is mapped to the case status category and the related reward calculation attribute category to form a record structure {(trial status, case status category, related calculation attribute category)}. All such records are then organized in a unified manner to form a set of cross-attribute values, which is expressed in set form as {(value A, category X, category Y), (value B, category Y, category Z)}.

[0033] It should be noted that, compared to the existing technology which usually only processes values ​​within a single attribute dimension, this embodiment systematically identifies and aggregates the cross-attribute values ​​between different attribute categories, enabling the compensation calculation process to explicitly reflect the shared value basis between attributes. This effectively reduces the risk of duplicate inclusion due to rule overlap during attribute calculation, and provides stable data support for the reasonable determination of the subsequent attribute calculation element set and the clear construction of the compensation calculation chain.

[0034] Each value in the set of values ​​for different attribute categories is compared item by item, and the values ​​that appear repeatedly in multiple sets of attribute category values ​​are recorded, including: Extract the values ​​from each attribute category's value set one by one, and label each value with its corresponding attribute category identifier; The values ​​from different attribute category value sets are compared item by item, and records with the same values ​​are marked. Collect the attribute category identifiers corresponding to the marked values ​​to form a combination of category identifiers corresponding to repeated values; The repeated values ​​and their corresponding category identifiers are recorded to form values ​​that appear repeatedly in multiple attribute category value sets.

[0035] In this embodiment, the values ​​in different attribute category value sets are compared item by item, and the values ​​that appear repeatedly in multiple attribute category value sets are recorded. The purpose is to accurately reveal the common values ​​in the calculation of arbitration case remuneration, so as to clarify the cross-correlation between different calculation attributes and avoid calculation errors caused by the same value being counted repeatedly or being overlooked. Specifically, firstly, the specific value content is extracted one by one from each attribute category value set, and each value is marked with its specific attribute category identifier to form a clear and standardized value category record, so that the duplicate value can be quickly and efficiently compared and identified in the future.

[0036] For example, continuing with the aforementioned case number 20240101 example, assuming the specific set of attribute category values ​​is as follows: the case type category value set is {labor dispute case, contract dispute case}, the case status category value set is {filing status, trial status, contract dispute case}, and the case amount category value set is {300,000 yuan, 500,000 yuan, 800,000 yuan}, then in this embodiment, the corresponding category identifiers for these values ​​are first clearly marked to form a standardized value identifier record, for example: {(Labor Dispute Case, Case Type Category), (Contract Dispute Case, Case Type Category), (Case Filing Status, Case Status Category), (Trial Status, Case Status Category), (Contract Dispute Case, Case Status Category), (300,000 Yuan, Case Amount Category), (500,000 Yuan, Case Amount Category), (800,000 Yuan, Case Amount Category)}; Furthermore, this embodiment compares each of the explicitly marked values ​​and precisely marks the values ​​that appear in the same way in multiple category sets. For example, the value "contract dispute case" appears in both the case type category and the case status category set and is explicitly marked as a duplicate value.

[0037] Next, this embodiment collects the corresponding attribute category identifiers for the marked duplicate values, forming a structured category identifier combination, for example: {(Contract dispute case, case type category, case status category)}; These specific values ​​are then combined with their corresponding categories and recorded uniformly, ultimately forming a clear set of cross-attribute values: {(Contract dispute case, case type category, case status category)}.

[0038] It should be noted that, compared with existing technologies that typically perform calculations based on a single attribute or isolated value, this embodiment achieves accurate identification of overlapping values ​​between different attribute categories through a clear and explicit method of comparing values ​​item by item and recording them in combination with category identifiers. This fundamentally avoids the problem of duplicate attribute values ​​being counted during the calculation process, significantly improves the accuracy and traceability of subsequent arbitration remuneration calculation results, and provides an effective guarantee for the standardized and transparent calculation of arbitration remuneration.

[0039] The set of attribute calculation features is determined based on the set of cross-attribute values, including: Extract each cross attribute value from the set of cross attribute values ​​one by one, and determine the multiple attribute category identifiers corresponding to each cross attribute value, and record them as cross attribute category records; Based on the cross-value category records, extract the specific calculation entries corresponding to each attribute category identifier in the attribute calculation mapping table, and mark the correspondence between each attribute category identifier and the calculation entries one by one to form an attribute category calculation mark set; The content of each calculation item in the attribute category calculation mark set is analyzed one by one, and calculation items with common calculation basis are grouped according to the correlation of the content of the items to form a calculation item group set; Each calculated item in the calculated item group set is converted into an attribute calculated element, forming an attribute calculated element set.

[0040] In this embodiment, after forming the set of cross-attribute values, it is necessary to further determine a specific set of attribute calculation elements based on this set. The purpose is to clearly transform the multi-dimensional cross-values ​​involved in the arbitration remuneration calculation process into specific, structured calculation elements that can be directly used for remuneration calculation, so as to ensure the transparency and traceability of the arbitrator remuneration calculation process. Specifically, each specific cross-attribute value is extracted from the set of cross-attribute values ​​one by one, and the multiple attribute category identifiers corresponding to each cross-attribute value are clarified to form a structured cross-value category record, so as to clarify the position of the cross-attribute value in the attribute calculation system.

[0041] For example, continuing with the aforementioned case number 20240101, this embodiment extracts the specific calculation entry content corresponding to each attribute category identifier in the attribute calculation mapping table based on the cross-value category records, and clearly marks the correspondence between each category identifier and the calculation entry one by one to form an attribute category calculation mark set. Furthermore, this embodiment analyzes each record in the attribute category calculation mark set, and groups the calculation entries with the same calculation basis according to the common calculation basis of the calculation entry content to form a clear calculation entry group set.

[0042] Finally, this embodiment explicitly transforms each calculation item in the above-mentioned calculation item grouping set into a standardized attribute calculation element, so as to facilitate direct invocation in the arbitration remuneration calculation process, forming the final attribute calculation element set. It should be noted that, compared with the existing technology, which usually does not clearly distinguish the overlapping relationships between attribute calculation items, this embodiment significantly improves the accuracy of the attribute calculation element set by clearly recording the categories one by one and accurately marking the attribute calculation items and the standardized transformed calculation item groupings. This effectively avoids inaccuracies caused by duplicate entries or omissions in the subsequent calculation process, and strongly ensures the transparency and traceability of arbitration remuneration calculation.

[0043] Based on the relevance of the entries, calculation entries with common calculation bases are grouped to form a set of calculation entry groups, including: Extract the content of each calculated entry from the attribute category calculated tag set and identify common calculated features among the entries; The contents of the calculation items are categorized based on common calculation characteristics; Generate a set of calculation item groups based on the content of the categorized calculation items.

[0044] In this embodiment, after clarifying the set of attribute category calculation tags, it is necessary to further form a clear set of calculation item groups based on the correlation characteristics between each calculation item, so as to ensure that the subsequent arbitrator remuneration calculation process is more orderly, standardized and easy to trace. Specifically, firstly, the specific content of each calculation item is clearly extracted from the set of attribute category calculation tags, and the common calculation characteristics between these calculation items are analyzed item by item to identify the attribute characteristics that can jointly affect the arbitration remuneration calculation results, so as to further form a clearly structured group.

[0045] For example, continuing with the aforementioned case number 20240101 example, this embodiment extracts the specific content of relevant calculation entries from the attribute category calculation mark set. For example, it extracts the specific calculation entries involving case type, case status, and amount in dispute. Subsequently, this embodiment identifies the common calculation features among these calculation entries one by one. For example, when the common value of case type and case status is used as the basis for calculation in the process of calculating arbitration remuneration, the common calculation feature is clearly identified and recorded.

[0046] Furthermore, based on the aforementioned clearly identified common calculation features, this embodiment explicitly categorizes calculation items with the same common calculation features to make the relationship between calculation items clearer, thereby explicitly avoiding the duplication or omission of the same calculation basis during the calculation process. For example, calculation items that involve both case type and case status are explicitly merged into the same calculation item group to ensure that the calculation basis is clear and unique.

[0047] Finally, this embodiment unifies and organizes the clearly categorized calculation item groupings to form a clear and standardized set of calculation item groups, which can be directly called upon in the subsequent arbitration remuneration calculation process. By clearly identifying and classifying the common features among the calculation item contents, this embodiment significantly improves the standardization, transparency and traceability of the attribute calculation process, effectively overcoming the problem in the prior art that the calculation results are difficult to be stable and accurate due to the lack of clear identification of the association features of the calculation items.

[0048] S40: Match the set of elements calculated based on attributes with the initial set of elements in the case item by item to generate a set of element matching results, and calculate the remuneration value for each element matching result to obtain the itemized calculation results of the arbitrator's remuneration. In this embodiment, based on a clearly defined set of attribute calculation elements, each element is further matched with the initial set of case elements to form a set of element matching results. On this basis, the arbitrator's remuneration is calculated item by item. This aims to ensure the accuracy of the remuneration calculation process and the clear traceability of the results. Specifically, this embodiment accurately matches each attribute calculation element with the initial elements of the actual case to ensure that each calculation element can find the corresponding specific case information when calculating remuneration, thereby avoiding attribute mismatch or omission and providing clear and accurate data basis for subsequent itemized calculations.

[0049] For example, continuing with the aforementioned case number 20240101 example, this embodiment explicitly matches each specific element in the attribute calculation element set, such as "case type element," "case status element," and "case amount in dispute element," with the corresponding information in the initial case element set. Specifically, it matches "case type element" with "labor dispute case" in the initial case element set, "case status element" with "trial status," and "case amount in dispute element" with the amount "500,000 yuan," thus forming an element matching result set. {(Case type element, Labor dispute case), (Case status element, Trial status), (Case amount element, 500,000 yuan)}; Furthermore, based on the aforementioned clearly matched element results, this embodiment performs clear and explicit numerical calculations for each item involved in the calculation of arbitrator remuneration. Specifically, the matching results are substituted into the attribute calculation mapping table to clarify the corresponding calculation method, and the specific remuneration value for each item is calculated. For example, the basic remuneration is calculated according to the calculation method corresponding to the "labor dispute case" type clearly specified in the attribute calculation mapping table; the status-additional adjustment remuneration is calculated according to the "hearing status" attribute; and the economic target adjustment remuneration is calculated according to the target amount "500,000 yuan" corresponding to the target calculation method. Finally, the calculation results of the arbitrator remuneration items are obtained. {(Basic Compensation, Calculation Result A), (Status-Added Adjustment Compensation, Calculation Result B), (Target Adjustment Compensation, Calculation Result C)}.

[0050] It should be noted that, compared with the shortcomings of existing technologies, such as the ambiguity of the correlation between attribute matching and calculation methods or the isolation and disconnect between calculation links, this embodiment effectively eliminates the problem of inconsistency between attributes and case information that may occur during the calculation process by clearly matching attribute calculation elements with the initial elements of the case and calculating them item by item. This significantly improves the accuracy and standardization of the arbitrator remuneration calculation results and effectively ensures the traceability and transparency of the calculation results.

[0051] S50: Determine the combination of attribution attributes for each item based on the calculation results of the arbitrator's remuneration, generate a traceable chain of arbitration remuneration calculations based on the combination of attribution attributes, and output the calculation results of the arbitrator's remuneration based on the chain of arbitration remuneration calculations.

[0052] Based on the itemized calculation results of the arbitrator's remuneration, the attribution attribute combinations of remuneration are determined item by item, and a traceable chain of arbitration remuneration calculations is generated based on the attribution attribute combinations, including: Extract the specific attribute calculation element identifiers corresponding to each remuneration item in the calculation results of the remuneration item, and form a set of element identifiers corresponding to the remuneration item; Based on the set of element identifiers corresponding to each item of remuneration, each item is compared with the initial element set of the case to determine the specific content of the initial case element corresponding to each item of remuneration, and a remuneration item element comparison record is formed. The attribute calculation element identifiers involved in the compensation item comparison record are combined one by one to form a compensation attribution attribute combination, and the corresponding compensation calculation item value is marked for each attribution attribute combination. Following the order of the arbitration case handling process, the attribution attributes of remuneration, which are marked with specific calculation items, are linked together one by one to form a traceable chain of arbitration remuneration calculation.

[0053] In this embodiment, the attribution attribute combination of arbitrator remuneration is determined item by item based on the calculation results of the arbitrator remuneration items, and a traceable chain of arbitration remuneration calculation is formed on this basis. The aim is to clarify the relationship between each calculation item and its corresponding case attribute, so as to achieve the completeness, transparency and traceability of the arbitration remuneration calculation process. Specifically, this embodiment clearly extracts the attribute calculation element identifier corresponding to each remuneration item from the calculation results of the arbitrator remuneration items. These attribute calculation element identifiers clearly reflect the specific attribute information on which each remuneration item depends in the calculation process, so as to form a clear set of element identifiers corresponding to the remuneration items.

[0054] Continuing with the example of case number 20240101 mentioned above, this embodiment explicitly extracts specific calculation items from the calculation results of arbitrator remuneration, such as basic remuneration, status-based adjustment remuneration, and subject matter adjustment remuneration, and clearly identifies the attribute calculation element identifiers corresponding to these remuneration items, forming a clear set of element identifiers corresponding to remuneration items, for example: {(Basic remuneration, case type element), (Status-based adjustment remuneration, case status element), (Subject matter adjustment remuneration, case subject matter amount element)}; Furthermore, this embodiment compares each item with the previously obtained initial case element set based on the set of element identifiers corresponding to the remuneration sub-items to clarify the specific content of the initial case element corresponding to each remuneration sub-item. These clear correspondences are recorded as remuneration sub-item element comparison records. For example, the basic remuneration is clearly associated with the labor dispute case type, the status-added adjustment remuneration is clearly associated with the trial status, and the subject matter adjustment remuneration is clearly associated with the subject matter amount of 500,000 yuan, so as to ensure that the attribute attribution of each remuneration calculation sub-item is clear and transparent.

[0055] Based on this, this embodiment clearly combines the attribute calculation element identifiers involved in the remuneration item comparison record to form a clearly structured remuneration attribution attribute combination. Each clear remuneration attribution attribute combination is marked with the corresponding calculation item value to ensure that each calculation value has a clear corresponding attribute source. For example, the basic remuneration calculation value corresponding to the labor dispute case type, the status additional adjustment remuneration calculation value corresponding to the trial status, and the target amount of 500,000 yuan corresponding to the target adjustment remuneration calculation value are clearly marked.

[0056] Finally, this embodiment connects the attribution attributes of the arbitration award, which are clearly marked with specific calculation items, one by one according to the chronological order of the actual handling process of the arbitration case, forming a clear and traceable chain of arbitration award calculation. This ensures that the calculation results of each step can be clearly traced back to the specific attribute elements and calculation methods of the case, significantly improving the transparency, accuracy and auditability of arbitration award calculation.

[0057] The attribute calculation element identifiers involved in the comparison record of each item of the compensation item are combined one by one to form the compensation attribution attribute combination, including: Extract the attribute calculation element identifiers contained in each record from the comparison records of the sub-items of compensation; Based on the position of the attribute calculation element identifier in the remuneration sub-element comparison record, the attribute calculation element identifiers are sorted in order; The attribute calculation element identifiers, after being sorted in order, are combined according to their corresponding reward items to form attribute element combination units; By combining the various attribute elements, a reward attribution attribute combination is formed.

[0058] In this embodiment, the attribute calculation element identifiers involved in the remuneration item comparison record are explicitly combined to establish a clear and structured remuneration attribution attribute combination, so as to achieve clear attribute attribution in the arbitration remuneration calculation process and ensure the integrity, transparency and traceability of the calculation process. Specifically, this embodiment first extracts the attribute calculation element identifiers contained in each record from the remuneration item comparison record. The purpose of this step is to accurately identify the clear attribute source corresponding to each remuneration item calculation result, so that each remuneration item can be clearly associated with the specific attribute calculation element.

[0059] Continuing with the example of case number 20240101 mentioned above, this embodiment explicitly extracts clear attribute calculation element identifiers such as "case type element," "case status element," and "case amount in dispute element" from the remuneration item comparison record one by one to form a clear and specific set of attribute element identifiers. Subsequently, this embodiment arranges these attribute calculation element identifiers in order according to their clear appearance positions in the remuneration item comparison record to ensure that the arrangement order of each attribute element identifier can accurately correspond to the actual arbitration remuneration calculation process.

[0060] Based on the above-mentioned clear sequential organization, this embodiment further combines the attribute calculation element identifiers according to the clearly corresponding reward items to form attribute element combination units with clear structures, for example, clearly forming: Attribute element combination unit 1: (Case type element, basic remuneration); Attribute element combination unit 2: (Case status element, status-based adjustment compensation); Attribute element combination unit 3: (Case subject matter amount element, subject matter adjustment remuneration); Finally, this embodiment unifies the aforementioned clearly formed attribute element combination units into a complete remuneration attribution attribute combination, serving as a clear calculation basis to support the traceability and clarity of the subsequent arbitration remuneration calculation chain. Compared with the existing technology, which usually lacks a clear attribute attribution and combination mechanism, making it difficult to trace and verify the calculation results, the method of this embodiment ensures that each remuneration calculation result has a clear attribute basis and a structured traceable path, significantly enhancing the accuracy, transparency, and reliability of the arbitration remuneration calculation process, and solving the problems of unclear attribute calculation attribution and difficulty in tracing existing technologies.

[0061] Example 2

[0062] Please see Figure 2As shown, based on the same inventive concept, this embodiment discloses an arbitrator remuneration calculation system based on multi-dimensional elements of arbitration cases. For details not covered in this embodiment, please refer to the relevant sections of Embodiment 1. The system includes: Element Acquisition Module: Based on the acquired arbitration remuneration calculation request, this module retrieves the case type, case status, and amount in dispute from the case database to generate an initial set of case elements. Attribute Mapping Module: This module is used to match the corresponding reward calculation attribute categories based on the initial set of case elements, generate a set of case attribute categories, extract the calculation methods corresponding to each category based on the attribute category set, and generate an attribute calculation mapping table. Cross-value module: used to identify the cross-attribute values ​​of each attribute category based on the attribute calculation mapping table, generate a set of cross-attribute values, and determine the set of attribute calculation elements based on the set of cross-attribute values; The item-by-item calculation module is used to perform item-by-item matching between the set of elements calculated based on attributes and the initial set of elements in the case, generate a set of element matching results, and perform remuneration value calculation on each element matching result set to obtain the item-by-item calculation results of the arbitrator's remuneration. Attribution Link Module: This module is used to determine the attribution attribute combination of each item based on the calculation results of the arbitrator's remuneration, generate a traceable arbitration remuneration calculation chain based on the attribution attribute combination, and output the arbitrator's remuneration calculation result based on the arbitration remuneration calculation chain.

[0063] The detailed description above, in conjunction with the accompanying drawings, describes examples but does not represent all examples that can be implemented or fall within the scope of the claims. The terms “example” and “exemplary” are used in this specification to mean “serving as an example, instance or illustration” and do not mean “superior to or better than other examples”.

[0064] Throughout this specification, the phrase "an embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with that embodiment is included in at least one embodiment of the invention. Therefore, the use of these phrases may refer to more than one embodiment. Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0065] It should also be noted that these embodiments may be described as processes depicted as flowcharts, structural diagrams, or block diagrams. Although a flowchart may describe the operations as sequential processes, many of these operations can be performed in parallel or concurrently, and the order of these operations may be rearranged.

Claims

1. A method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases, characterized in that, include: Based on the obtained arbitration remuneration calculation request, the case type, case status, and amount in dispute are obtained from the case database to generate an initial set of case elements; Match the corresponding reward calculation attribute categories to the initial set of case elements, generate a set of case attribute categories, and extract the calculation methods corresponding to each category from the attribute category set to generate an attribute calculation mapping table; The cross-attribute values ​​of each attribute category are identified based on the attribute calculation mapping table, a set of cross-attribute values ​​is generated, and the set of attribute calculation elements is determined based on the set of cross-attribute values. The set of attribute-based calculation elements is matched item by item with the initial set of elements in the case to generate a set of element matching results. The remuneration values ​​are then calculated for each element matching result to obtain the itemized calculation results of the arbitrator's remuneration. Based on the itemized calculation results of the arbitrator's remuneration, the combination of remuneration attribution attributes is determined item by item, and a traceable arbitration remuneration calculation chain is generated based on the combination of remuneration attribution attributes. The arbitrator's remuneration calculation result is output based on the arbitration remuneration calculation chain.

2. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 1, characterized in that, Based on the initial set of case elements, the corresponding reward calculation attribute categories are matched to generate a set of case attribute categories, including: Extract the case type, case status, and case amount from the initial case element set to form an element identifier set; Each element identifier in the element identifier set is compared with the category identifier in the preset attribute category definition table, and the corresponding records of element identifiers and category identifiers are recorded. Records corresponding to element identifiers with the same category identifier are grouped to form attribute category group sets; A case attribute category set is formed by grouping the attribute categories together.

3. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 2, characterized in that, Methods for grouping records corresponding to feature identifiers with the same category to form attribute category group sets include: Extract the category identifier information contained in each corresponding record from the corresponding records of element identifiers and category identifiers; Based on the category identifier information, the corresponding records are classified item by item, and the corresponding records with the same category identifier are grouped into the same record group; The records corresponding to the element identifiers contained in each record group are uniformly organized to form record groups divided by category identifiers; The records are grouped and summarized to form a set of attribute category groups.

4. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 1, characterized in that, Based on the attribute calculation mapping table, identify the cross-attribute values ​​for each attribute category and generate a set of cross-attribute values, including: Extract the attribute values ​​corresponding to each attribute category from the attribute calculation mapping table to form an attribute category value set; The values ​​in the different attribute category value sets are compared item by item, and the values ​​that appear repeatedly in multiple attribute category value sets are recorded. Repeated values ​​are grouped according to their attribute categories to form a set of cross-attribute values.

5. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 4, characterized in that, Each value in the set of values ​​for different attribute categories is compared item by item, and the values ​​that appear repeatedly in multiple sets of attribute category values ​​are recorded, including: Extract the values ​​from each attribute category's value set one by one, and label each value with its corresponding attribute category identifier; The values ​​from different attribute category value sets are compared item by item, and records with the same values ​​are marked. Collect the attribute category identifiers corresponding to the marked values ​​to form a combination of category identifiers corresponding to repeated values; The repeated values ​​and their corresponding category identifiers are recorded to form values ​​that appear repeatedly in multiple attribute category value sets.

6. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 1, characterized in that, The set of attribute calculation features is determined based on the set of cross-attribute values, including: Extract each cross attribute value from the set of cross attribute values ​​one by one, and determine the multiple attribute category identifiers corresponding to each cross attribute value, and record them as cross value category records; Based on the cross-value category records, extract the specific calculation entries corresponding to each attribute category identifier in the attribute calculation mapping table, and mark the correspondence between each attribute category identifier and the calculation entries one by one to form an attribute category calculation mark set; The content of each calculation item in the attribute category calculation mark set is analyzed one by one, and calculation items with common calculation basis are grouped according to the correlation of the content of the items to form a calculation item group set; Each calculated item in the calculated item group set is converted into an attribute calculated element, forming an attribute calculated element set.

7. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 6, characterized in that, Based on the relevance of the entries, calculation entries with common calculation bases are grouped to form a set of calculation entry groups, including: Extract the content of each calculated entry from the attribute category calculated tag set and identify common calculated features among the entries; The contents of the calculation items are categorized based on common calculation characteristics; Generate a set of calculation item groups based on the content of the categorized calculation items.

8. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 1, characterized in that, Based on the itemized calculation results of the arbitrator's remuneration, the attribution attribute combinations of remuneration are determined item by item, and a traceable chain of arbitration remuneration calculations is generated based on the attribution attribute combinations, including: Extract the specific attribute calculation element identifiers corresponding to each remuneration item in the calculation results of the remuneration item, and form a set of element identifiers corresponding to the remuneration item; Based on the set of element identifiers corresponding to each item of remuneration, each item is compared with the initial element set of the case to determine the specific content of the initial case element corresponding to each item of remuneration, and a remuneration item element comparison record is formed. The attribute calculation element identifiers involved in the compensation item comparison record are combined one by one to form a compensation attribution attribute combination, and the corresponding compensation calculation item value is marked for each attribution attribute combination. Following the order of the arbitration case handling process, the attribution attributes of remuneration, which are marked with specific calculation items, are linked together one by one to form a traceable chain of arbitration remuneration calculation.

9. The method for calculating arbitrator remuneration based on multi-dimensional factors of arbitration cases according to claim 8, characterized in that, The attribute calculation element identifiers involved in the compensation item comparison record are combined item by item to form the compensation attribution attribute combination, including: Extract the attribute calculation element identifiers contained in each record from the comparison records of the sub-items of compensation; Based on the position of the attribute calculation element identifier in the remuneration sub-element comparison record, the attribute calculation element identifiers are sorted in order; The attribute calculation element identifiers, after being sorted in order, are combined according to their corresponding reward items to form attribute element combination units; By combining the various attribute elements, a reward attribution attribute combination is formed.

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