Efficiency evaluation method based on massive adversarial simulation deduction data modeling and analysis

Abstract

The invention provides an efficiency evaluation method based on massive adversarial simulation deduction data modeling and analysis, and the method employs an orthogonal test design means, determines test factors and horizontal elements through a data dimension method, and achieves the evaluation of the efficiency of the data. The method comprises the following steps: constructing a decision evaluation scene meeting the requirements of more information incompleteness, more force deployment strategies of friend and foe parties, more combat command and control strategies, more battlefield environment elements and more performance elements of friend and foe weapons, establishing an index weight matrix and an evaluation objective function, and optimizing the degree of membership through a multi-layer intelligent perceptron and the degree of membership. The method comprises the steps of determining the incidence relation between index parameters and decision-making effects, generating an optimized distribution result of index weights, comprehensively evaluating massive game deduction results by adopting a big data and knowledge fusion method, improving the objectivity and accuracy of equipment efficiency evaluation, constructing a mapping relation between five-more-related interval parameters and corresponding indexes, and improving the efficiency evaluation efficiency of the equipment. A matrix type evaluation result query table is formed, and the comprehensiveness of equipment efficiency evaluation is improved.

Description

technical field [0001] The invention relates to an efficiency evaluation method based on massive countermeasure simulation deduction data modeling and analysis, which belongs to the field of aerospace equipment efficiency evaluation. Background technique [0002] For equipment model capability evaluation, model evaluation is mainly carried out around the traditional system contribution, system maturity, system satisfaction and other aspects. In terms of system contribution evaluation, mainly adopt test evaluation methods, deduction, technology evaluation methods based on scientific advisory groups, and quantitative technology evaluation. In terms of assessment of the maturity of the technology system, methods based on technology readiness (TRL), integration readiness level (IRL) and system readiness level (SRL) are mainly used. In terms of system satisfaction evaluation, it is mainly used to evaluate whether the equipment system meets various capability requirements and equ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem of the present invention is: to overcome the deficiencies of the prior art, and to provide a multi-scenario-based comprehensive performance evaluation method, which relies on the game deduction system, and under multiple scenarios such as incomplete blue team information and uncertain deploymen

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