13 results about "Decision tool" patented technology

The invention relates to the technical field of data processing, and discloses a bank mortgage asset risk disposal method and system based on a particle swarm optimization algorithm. The method comprises the following steps: converting bank mortgage asset data into real number weight vectors, sorting and decoding the real number weight vectors to generate a disposal priority sequence, constructing a constraint check matrix, generating a legal disposal path through hierarchical repair, calculating market risk measurement index dynamic adjustment algorithm parameters to generate a risk sensitive parameter set, and inputting the improved particle swarm optimization to generate a Pareto optimal solution set through a dual-objective function, and converting into a disposal time table according to the risk preference coefficient weighted sorting. The problem that bank mortgage asset risk disposal lacks a quantitative decision tool and intelligent optimization capability in the prior art is solved, and the scientificity of a disposal strategy and the systematic risk prevention and control capability are improved.

The invention provides a product design-oriented product recovery scheme prediction method and system. The method comprises the steps of defining evaluation influence factors of a product recovery scheme; evaluating the relative importance of each factor by using a comprehensive decision-making tool combining an analytic hierarchy process and a decision-making test and evaluation laboratory method, and calculating to obtain a comprehensive weight; the invention discloses recovery scheme probability prediction based on fuzzy comprehensive evaluation. The method comprises the following steps: establishing a factor set consisting of elements of factors influencing an evaluation object; establishing an evaluation set composed of different recovery schemes possibly made for the evaluation object; constructing a fuzzy evaluation matrix based on the factor set and the evaluation set; constructing a weight set fuzzy set of each influence factor based on the comprehensive weight; and obtaining a comprehensive evaluation model based on the weight set fuzzy set and the fuzzy evaluation matrix, obtaining the probability that a certain product part executes a set recovery scheme based on the comprehensive evaluation model, and obtaining a predicted product recovery scheme based on the obtained probability.

We provide the system. [Solution] An information gathering method that collects multiple data formats, including video, audio, and text, in real time, Analytical means for analyzing and integrating collected data, Based on the analysis results, a decision-making tool is provided to recognize the situation and determine the optimal course of action. Action execution means for carrying out a determined action and transmitting a predetermined instruction, Control means for coordinating information gathering means, analysis means, decision-making means and action execution means, A system that includes this.

The application discloses a crack-resistant reinforcement configuration optimization method for high concrete face slab dam panels, S1: acquiring first data; S2: generating second data based on a geometric model of dam panels; S3: generating an indication signal based on the first data and the second data through a Pareto frontier solver; S4: generating a reinforcement network optimization instruction based on a selected working point on a Pareto frontier curve; and S5: adjusting an initial reinforcement topology network in response to the reinforcement network optimization instruction, and outputting a final reinforcement configuration scheme; the application can realize significant synergistic gain of design safety and economic benefits by deep quantization of structural risk through probability inference, construction of a double-target optimization framework of efficiency and robustness, generation of a Pareto frontier performance boundary, and output of a reinforcement scheme with higher safety under the same cost or lower cost under the same safety standard through an interactive decision tool.

The invention discloses a multi-energy complementary system dynamic collaborative optimization method based on a geographic information system, and belongs to the technical field of energy system optimization. In order to solve the bottleneck problems of lack of operation feedback, disjunction of planning and scheduling and the like in the prior art, a real-time optimization architecture of space evaluation, capacity allocation, operation verification and closed-loop adjustment is provided. The method is characterized in that a hour-level operation model is constructed through mixed integer programming, and the actual performance of capacity configuration is accurately quantified; establishing a bidirectional feedback channel, and feeding operation indexes such as a load power shortage rate and a power abandoning rate back to an upper-layer capacity decision in real time; and an improved NSGA-II algorithm is adopted to realize dynamic balance of economy and reliability. According to the method, the adaptive capacity of the system to uncertainty is remarkably enhanced, the planning scheme is ensured to be continuously optimized in the whole life cycle, and a self-adaptive decision tool is provided for the renewable energy system.

The invention discloses a Pu'er tea aging value evaluation and prediction method and system based on multi-source data fusion and a compound growth model. The method comprises the following steps: constructing a multi-source database comprising a tea body, a storage environment and market transaction; collecting target tea product data and inputting the target tea product data into the quality sensory prediction model obtained by machine learning training to obtain a digital quality score; determining an annual value growth coefficient based on the quality score and the market data; based on the raw materials and the processing cost, determining an initial value in combination with the quality score; and finally predicting a future value by using a compound benefit model and generating a growth curve. The system comprises a data acquisition module, a database module, a model processing module and a user interaction module. The Pu'er tea value evaluation method realizes the transformation of the Pu'er tea value evaluation from subjective experience to objective quantification through data driving, the value evaluation basis is firmer, the value increase is accurately predicted by using the compound benefit model, and a scientific decision tool is provided for tea collection, investment and finance.

The invention provides a technology-law-economy three-dimensional evaluation method for patent data assets. According to the method, a quantitative index system is established from three dimensions of technology, law and economy, the patent value is comprehensively evaluated, an objective weighting method is adopted to calculate the comprehensive value and the fair value, and finally an evaluation report is generated. Omnibearing quantification of patent data asset values is achieved, the problem of one-sidedness of a traditional method is solved, and a scientific decision tool is provided for patent transaction and operation.

The invention discloses a personalized financial service scheme based on multi-dimensional data driving, which belongs to the field of data processing, and comprises the following steps: carrying out multi-dimensional feature extraction on user historical data, and generating a user character feature vector matrix; analyzing an association relationship between the user character characteristic vector and the transaction decision mode, and generating a character behavior association model; analyzing the transaction behavior prediction rule set, and determining a transaction interface information density parameter corresponding to each user character classification; risk prompt related information is determined by monitoring change conditions of transaction amount and transaction frequency of a user in real time; adjusting the intervention intensity level of the decision-making tool according to the risk prompt related information; and acquiring response feedback data of each user character classification user to different intervention measures in real time, and optimizing the association model and the transaction interface information density parameter corresponding to each user character classification according to the response feedback data. According to the scheme, an accurate association model of user character characteristics and transaction behaviors is established, and efficient personalized financial transaction services can be provided for users.

The application discloses a kind of personalized financial service scheme based on multidimensional data driving, belong to data processing field, including: the multidimensional feature extraction of user historical data is generated user character feature vector matrix;Analysis user character feature vector and the association of transaction decision mode, generate character behavior association model;Analysis transaction behavior prediction rule set, determine the transaction interface information density parameter corresponding to each user character classification;Through real-time monitoring user transaction amount and transaction frequency variation, determine risk prompt related information;According to risk prompt related information, adjust the intervention intensity level of decision tool;Real-time acquisition each user character classification user response feedback data to different intervention measures and according to it, optimize association model and the transaction interface information density parameter corresponding to each user character classification.The scheme establishes the accurate association model of user character feature and transaction behavior, can provide efficient personalized financial transaction service for user.

The present application relates to the technical field of aviation safety and risk management, in particular to a human factor system risk modeling method based on cognitive reasoning graph, which acquires and preprocesses aviation accident report texts; adopts LDA to mine accident causes; constructs a standardized human factor collection based on the HFACS framework; adopts DEMATEL-based static causal relationship modeling; takes the normalized frequency of a factor as an initial value and constructs an FCM model based on a DEMATEL comprehensive influence matrix to simulate risk dynamic evolution; and finally generates a cognitive reasoning graph by fusing a static network and dynamic results. The present application overcomes the limitations of traditional methods, such as dependence on manual work, strong subjectivity and static analysis, and realizes automatic extraction, objective quantification and dynamic evolution simulation of causation factors, and can systematically identify key causation and risk transmission paths, thereby providing an efficient, objective and predictive decision-making tool for aviation safety management.

The invention discloses an energy storage project auxiliary investment decision-making tool based on a physical option method, and belongs to the technical field of energy, and the tool comprises the following steps: S1, constructing a multi-dimensional investment construction benefit evaluation index system, and presetting or supporting a user to input index values; s2, fusing the energy storage system performance attenuation dynamic model and establishing a cash flow discount model to obtain a mixed integer linear programming optimization model; s3, calculating a project net present value and an option value of the delayed investment through a BSM entity option model, and performing summation to obtain a project extension net present value; and S4, obtaining an optimal independent energy storage project investment decision by comparing the income condition and the investment parameter corresponding to the investment strategy. By adopting the energy storage project auxiliary investment decision-making tool based on the physical option method, a full-process closed-loop service from data support to optimal strategy output is provided for investors, the investment risk and decision-making deviation are effectively reduced, and the demand of a chemical energy storage project is accurately adapted.

We provide the system. [Solution] Means for collecting large amounts of information, A generation means for extracting user interests and trends from the aforementioned collected information, A decision-making tool for formulating operational strategies based on identified interests and trends, A means for generating and distributing advertisements based on the aforementioned operational strategy, A feedback means for measuring the effectiveness of the delivered advertisement and for improving the generation means and determination means, A system that includes this.

A method and system for reducing the time it takes traders to interpret options time and sales data, identify opportunities, and make better trading decisions. The invention automatically processes, enriches, interprets, and aggregates options flow and related data, delivering the refined data via a multidimensional user interface. The method includes receiving raw data with parameters such as strike price, expiration date, and volume, and enriching it with reference data and derived metrics, including underlying security attributes and trade volume aggregates. The data is stored in a multidimensional structure and rendered into a comprehensive and configurable interactive tabular view, enabling users to dynamically explore, analyze, sort, filter, group, and drill into specific trades. The system efficiently handles large data volumes, enabling efficient interpretation of noteworthy or complex trading activity such as multi-leg spread and roll trades, ultimately providing traders with a powerful tool for data analysis and decision-making.