Equipment combat effectiveness evaluation method based on similarity and similarity mechanism

Abstract

The invention relates to the technical field of equipment test and identification, in particular to an equipment combat effectiveness evaluation method based on similarity and similarity mechanisms. The method comprises the following steps: 1) adopting multi-stage three-dimensional data description of combat effectiveness evaluation, firstly constructing a combat effectiveness evaluation index system, 2) establishing a combat effectiveness evaluation basic principle based on a similar mechanism and 3) establishing a combat effectiveness evaluation model based on the similar mechanism and the similar mechanism. According to the method, starting from the connotation requirement of equipment combat effectiveness evaluation, the proximity relation of the index sequence curve and the combat mission demand curve in position can be well measured through the combat effectiveness evaluation method based on the distance connotation, and the shape similarity performance between the two sequence curves is well measured through the grey relational degree. The method is a new evaluation method for reflecting the relative approaching degree and the comprehensive approaching degree of the combat effectiveness index data sequence approaching the combat mission demand data sequence, so that the dynamic evaluation of the combat effectiveness of the multi-task stage equipment is realized based on the approaching mechanism and the similar mechanism.

Description

technical field [0001] The invention relates to the technical field of equipment testing and identification, in particular to a method for evaluating equipment combat effectiveness based on similar and similar mechanisms. Background technique [0002] The essence of equipment combat effectiveness evaluation is to measure and comprehensively evaluate the proximity and similarity between the combat effectiveness index data sequence and the combat mission requirement data sequence. The current mainstream evaluation methods are generally divided into expert experience methods, data-driven methods, and combat simulation methods. They are basically based on the above-mentioned evaluation connotations to establish relevant model algorithms, and their respective advantages and disadvantages are very obvious. Practical experience, evaluation results are highly subjective. The data-driven method is mainly to establish a mathematical model of input data and output performance, but the...

AI Technical Summary

Problems solved by technology

The current mainstream evaluation methods are generally divided into expert experience methods, data-driven methods, and combat simulation methods. They are basically based on the above-mentioned evaluation connotations to establish relevant model algorithms, and their respective advantages and disadvantages are very obvious. Practical experience, the evaluation results are highly subjective

The data-driven method is mainly to establish a mathematical model of input data and output performance, but the consistency of the model mechanism and the evaluation connotation will directly affect the evaluation results, and the improvement and correction forms of various models are also very simple.

The combat simulation method requires a large amount of detailed data to establish a simulation model, and it is difficult to describe the relationship between the models and verify the credibility of the model

Images