Bidder score calculation method based on quotation scoring rule

Abstract

The invention relates to a bidder score calculation method based on a quotation scoring rule, and the method comprises the steps: obtaining a bidder quotation file, and obtaining the quotation amount of a bidder through the extraction of a table, and forming a quotation array; analyzing quotation scoring rule terms by using semantics to obtain a reference value calculation rule and a score deduction item rule; calculating the quotation array to obtain a bid evaluation price reference value; analyzing the score deduction item rule to obtain a bid evaluation price reference value deviation ratio, and performing section division calculation on the basis of the deviation ratio to obtain a score deduction proportion array and a lowest preset value; and calculating the bidder quotation part score by using the bidder quotation amount, the score deduction proportion array and the bid evaluation price reference value. And according to the quotation part proportion and the quotation part score, calculating the condition of the bidder at the quotation part of the bidding project. According to the invention, a fair and just environment is provided for bidding purchasing, the quotation score of the bidder is more fair and reasonable, and the fairness and transparency of bidding purchasing are improved.

Description

Technical Field

[0001] The invention belongs to the technical field of bidding, and in particular relates to a method for calculating bidder scores based on quotation scoring rules. Background Art

[0002] Government project bidding and tendering selects suitable suppliers, contractors or service providers through open, fair and transparent bidding and tendering procedures. Ensuring project quality is one of the important links in government project bidding and tendering management. By setting strict technical standards and bid evaluation methods, the government can ensure that the winning supplier or contractor has the qualifications and capabilities required to complete the project, thereby ensuring the final quality and effect of the project.

[0003] The current scoring method for bidding evaluation relies on the subjective judgment of experts, which is based on their way of thinking, experience and cultural background. This leads to deviations in the scoring process, causing unfairness and uncertainty in the evaluation results. Summary of the invention

[0004] The technical problem of the present invention is: to introduce a bid evaluation calculation method based on quotation scoring rule clauses, avoid the influence of human factors on the bidding results through the scoring standards and rules in the bidding documents, and objectively evaluate the bid amounts of the bidders.

[0005] The technical solution of the present invention is a method for calculating bidder scores based on bid scoring rules, comprising the following steps: S1. Obtain the quotation files of all bidders, and use the table extraction method to obtain the quotation amounts of all bidders to form a quotation array; S2. Use semantic analysis to obtain quotation scoring rule clauses, and obtain the benchmark value calculation rules and deduction item rules; S3. Calculate the bid array using the benchmark value calculation rule of step S2, and then calculate the bid evaluation benchmark value using the bid evaluation benchmark value calculation method; S4. Analyze the deduction item rules obtained in step S2 using information extraction technology to obtain the deviation rate of the bid evaluation benchmark value, and divide the interval calculation into sections based on the deviation rate to obtain the deduction ratio array and the minimum predetermined value; S5. Calculate the bidder's bid score using the bidder's bid amount, deduction ratio array and bid evaluation benchmark value; S6. Calculate the bidder’s local situation in the bidding project’s quotation part based on the quotation part proportion and quotation part score.

[0006] Preferably, in step S1, the bid amounts of all bidders are obtained by table extraction, and the total bid price in the price list in the quotation sheet is identified from the business part of the bidding document by an algorithm.

[0007] Preferably, in step S2, the clause of using semantic analysis quotation scoring rules is to perform semantic information analysis on the credit part and the technical part in the bidding document based on natural language and extract the scoring rules.

[0008] Furthermore, in step S3, the method for calculating the bid evaluation price benchmark value includes calculating an initial bid evaluation price benchmark value based on the evaluation terms, and then comparing the initial bid evaluation price benchmark value with the bid evaluation quotations of each bidding unit, and then making adaptive modifications based on the evaluation terms.

[0009] Furthermore, step S3 also includes deleting the bid amount in the bid array according to the terms in the bidding document.

[0010] Preferably, in step S4, the deduction item rules obtained in step S2 are analyzed using information extraction technology, and the deduction rule clauses are extracted from the bidding documents and converted into structured data.

[0011] Preferably, step S4 also includes the step of deducting points in equal proportion by interpolation in the segmented calculation when the deviation rate between the bidder's evaluation price and the evaluation price benchmark value is within the segmented interval.

[0012] Furthermore, step S5 also includes determining the quotation scores of the commercial parts in all bidding documents. When the quotation score is lower than a minimum predetermined value, the quotation score is the minimum predetermined value.

[0013] Compared with the prior art, the beneficial effects of the present invention include: 1) The present invention uses a calculation method based on the quotation scoring rule clauses to make the bidder's quotation score more fair and reasonable, thereby improving the fairness and transparency of bidding and procurement.

[0014] 2) The present invention uses preset quotation scoring rules and scoring criteria to quickly and accurately calculate the scores and rankings of bidders, thereby improving the efficiency of bidding and procurement.

[0015] 3) The present invention provides a fair and just environment for bidding and procurement through a calculation method based on the quotation scoring rule clauses, enhances the bidding motivation of bidders, increases the overall bidding quality, and helps to implement the bidding projects with high quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0017] Figure 1 This is a flow chart of a method for calculating bidder scores based on bid scoring rules in an embodiment of the present method. DETAILED DESCRIPTION

[0018] Take the following bidding situation as an example: Bidders A, B, C, D, E, F, and G, with quoted amounts of 95, 93, 92, 90, 99, 117, and 119 respectively; The quotation part accounts for 45% of the total; The information on the quotation scoring rule terms is as follows: Take the arithmetic mean of the lowest and the second-lowest evaluated prices of all bidders passing the preliminary review × 0.97 as the benchmark value B for this review, and the calculation rules shall be satisfied: (1) When there are more than 5 bidders participating in the calculation, remove one highest evaluated price and one lowest evaluated price; (2) When multiple affiliated enterprises (units) of the same enterprise group participate in the bidding for this project, take the lowest evaluated price among them to participate in the calculation of the benchmark value of the evaluated price, regardless of whether this price is screened out in step (1); The evaluated price is the bid price after arithmetic error correction.

[0019] (3) After calculating the value of B according to the rules in (1) and (2), if there are no less than 3 bidders participating in the calculation, remove the evaluated prices higher than B × 130% (inclusive), and recalculate the value of B according to this step. This step is only calculated once.

[0020] (4) When 0 < Di ≤ 3%, deduct 1 point for every 1% increase; When 3% < Di ≤ 6%, deduct 1.5 points for every 1% increase; When 6% < Di, deduct 2 points for every 1% increase; When -3% < Di ≤ 0, no points are deducted; When -6% < Di ≤ -3%, deduct 0.5 points for every 1% decrease; When -9% < Di ≤ -6%, deduct 1 point for every 1% decrease; When Di ≤ -9%, deduct 1.5 points for every 1% decrease; The full score is 100 points, and the minimum score is 60 points.

[0021] As Figure 1 shown, a method for calculating the scores of bidders based on the quotation scoring rules includes the following steps: S1. Obtain the quotation files of all bidders, and use a table to extract the quotation amounts of all bidders to form a quotation array; In step S1, use a table to extract the quotation amounts of all bidders, and from the business part of the bidding documents, use an algorithm to identify the total bid price in the price list of the quotation form.

[0022] For the collection of quotation files and rule clause data, use the interface docking method and OCR technology to obtain the quotation files of different bidders and the information on the calculation clauses of the quotation scoring rules.

[0023] According to the steps in step S1, the resulting quote array is [95,93,92,90,99,117,119]; S2. Use semantic analysis to obtain the benchmark value calculation rules and deduction item rules; In step S2, the clause of using semantic analysis quotation scoring rules is to perform semantic information analysis on the credit part and technical part in the bidding document based on natural language and extract scoring rules.

[0024] S3. Calculate the bid array using the benchmark value calculation rule of step S2, and then calculate the bid evaluation benchmark value using the bid evaluation benchmark value calculation method; Step S3 also includes deleting the bid amount in the bid array according to the terms in the bidding document.

[0025] In step S3, the method for calculating the bid evaluation benchmark value further includes the following steps: 1) When there are more than 5 bidders involved in the calculation, the highest and lowest evaluated bids shall be removed; 2) After removing the highest and lowest evaluated bids, if there are still enterprises under the same enterprise group or above participating in the benchmark value calculation, the lowest evaluated bid shall be used for calculation; 3) Calculate the benchmark value of the bid evaluation ; In the formula, PZ represents the benchmark value of the bid evaluation price, P i represents the i-th evaluation price, i represents the counting unit, and n represents the maximum value of i; 4) If there are still no less than 3 bidders participating in the calculation, delete the evaluation price that is higher than the evaluation price benchmark value*130% and recalculate the evaluation price benchmark value.

[0026] According to the above method in step S3, the bid evaluation benchmark value calculation information is obtained and calculated to be 89.725.

[0027] S4. Analyze the deduction item rules obtained in step S2 using information extraction technology to obtain the deviation rate of the bid evaluation benchmark value, and divide the interval calculation into sections based on the deviation rate to obtain the deduction ratio array and the minimum predetermined value; The deduction rules obtained in step S2 are analyzed using information extraction technology, and the deduction rule clauses are extracted from the bidding documents and converted into structured data.

[0028] It also includes the case where the deviation rate between the bidder's evaluation price and the evaluation price benchmark value is within the segmented range, and the segmented calculation will be deducted proportionally by interpolation.

[0029] According to the above steps in step S4, the conversion of deduction points of different segments into structured data is as follows: {1: 1.0, 2: 1.0, 3: 1.0, 4: 1.5, 5: 1.5, 6: 1.5, 7: 2.0, 8: 2.0, 9:2.0, 10: 2.0, 11: 2.0, 12: 2.0, 13: 2.0, 14: 2.0, 15: 2.0, 16: 2.0, 17: 2.0,18: 2.0, 19: 2.0, 20: 2.0, 21: 2.0, 22: 2.0, 23: 2.0, 24: 2.0, 25: 2.0, 26:2.0, 27: 2.0, 28: 2.0, 29: 0, 47: 2.0, 48: 2.0, 49: 2.0, 50: 2.0, -2: 0, -1: 0, 0: 0, -5: 0.5, -4: 0.5, -3: 0.5, -8: 1.0, -7: 0.5, 9: 2.0, 100: 2.0, 110: 2.0, 111: 2.0, 112: 2.0, 113: 2.0, 114: 2.0, 115: 2.0, 116: 2.0, 117: 2.0, 118: 2.0, 119: 2.0, 1.0, -6: 1.0, -50: 1.5, -49: 1.5, -48: 1.5, -47: 1.5, -46: 1.5, -45: 1.5, -44: 1.5, -43: 1.5, -42:1.5, -41: 1.5, -40: 1.5, -39: 1.5, -38: 1.5, -37: 1.5, -36: 1.5, -35: 1.5, -34: 1.5, -33: 1.5, -32: 1.5, -31: 1.5, -30: 1.5, -29: 1.5, -28: 1.5, -27:1.5, -26: 1.5, -25: 1.5, 1.5, -12: 1.5, -11: 1.5, -10: 1.5, -9: 1.5}.

[0030] S5. Calculate the bidder's bid score using the bidder's bid amount, deduction ratio array and bid evaluation benchmark value.

[0031] Determine the quotation scores of the commercial part of all bidding documents. When the quotation score is lower than the minimum predetermined value, the quotation score will be the minimum predetermined value.

[0032] According to the above steps, the bid scores of bidders A, B, C, D, E, F, and G are calculated as follows: Bidder A scores 100; Bidder B scored 98.0; Bidder C scored 97.0; Bidder D scored 94.0; Bidder E scored 84.5; Bidder F scored 60; Bidder G scores 60.

[0033] S6. Calculate the bidder’s local situation in the bidding project’s quotation part based on the quotation part proportion and quotation part score.

[0034] According to the quotation part accounting for 45% this time, the bidder's quotation score is obtained as follows: The score for the quotation part of the project of Bidder A is 45.00; The score of the bid quotation part of the project of bidder B is 44.10; The score of bidder C in the quotation part of the project is 43.65; The score of bidder D in the quotation part of the project was 42.30; The score of the bid quotation part of the project of bidder E is 38.025; The score of the bid quotation part of the project of bidder F is 27.00; The score for the quotation part of the project of Bidder G is 27.00.

[0035] In order to make the technical personnel in the technical field better understand the scheme of the present invention, the above-mentioned embodiments are only the preferred technical schemes of the present invention and should not be regarded as limitations of the present invention. The protection scope of the present invention should be the technical schemes recorded in the claims, including the equivalent replacement schemes of the technical features in the technical schemes recorded in the claims. That is, equivalent replacement improvements within this scope are also within the protection scope of the present invention.

Claims

1. A method for calculating bidder scores based on bid scoring rules, characterized in that: The following steps are involved: S1. Obtain the quotation files of all bidders, and use the table extraction method to obtain the quotation amounts of all bidders to form a quotation array; S2. Use semantic analysis to obtain quotation scoring rule clauses, and obtain the benchmark value calculation rules and deduction item rules; S3. Calculate the bid array using the benchmark value calculation rule of step S2, and then calculate the bid evaluation benchmark value using the bid evaluation benchmark value calculation method; S4. Analyze the deduction item rules obtained in step S2 using information extraction technology to obtain the deviation rate of the bid evaluation benchmark value, and divide the interval calculation into sections based on the deviation rate to obtain the deduction ratio array and the minimum predetermined value; S5. Calculate the bidder's bid score using the bidder's bid amount, deduction ratio array and bid evaluation benchmark value; S6. Calculate the bidder’s local situation in the bidding project’s quotation part based on the quotation part proportion and quotation part score.

2. A bidder score calculation method based on bid scoring rules according to claim 1, characterized in that: In step S1, the bid amounts of all bidders are obtained by table extraction, and the total bid price in the price list in the quotation sheet is identified from the business part of the bid document by using an algorithm.

3. A bidder score calculation method based on bid scoring rules according to claim 1, characterized in that: In step S2, the clause of using semantic analysis quotation scoring rules is to perform semantic information analysis on the credit part and technical part in the bidding document based on natural language and extract scoring rules.

4. A method for calculating bidder scores based on bid scoring rules according to claim 1, characterized in that: In step S3, the method for calculating the bid evaluation benchmark value includes calculating the initial bid evaluation benchmark value according to the evaluation terms, and then comparing the initial bid evaluation benchmark value with the bid evaluation quotations of each bidding unit, and then making adaptive modifications according to the evaluation terms.

5. A method for calculating bidder scores based on bid scoring rules according to claim 3, characterized in that: Step S3 also includes deleting the bid amount in the bid array according to the terms in the bidding document.

6. A bidder score calculation method based on bid scoring rules according to claim 1, characterized in that: In step S4, the deduction item rules obtained in step S2 are analyzed using information extraction technology, and the deduction rule clauses are extracted from the bidding documents and converted into structured data.

7. A method for calculating bidder scores based on bid scoring rules according to claim 1, characterized in that: Step S4 also includes the step of deducting points in equal proportion by interpolation in the segmented calculation when the deviation rate between the bidder's evaluation price and the evaluation price benchmark value is within the segmented interval.

8. A method for calculating bidder scores based on bid scoring rules according to claim 1, characterized in that: The step S5 also includes determining the quotation scores of the commercial parts in all bidding documents. When the quotation score is lower than a minimum predetermined value, the quotation score is the minimum predetermined value.

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