Transmitting success rate rapid evaluation system based on multi-attribute fusion fuzzy comprehensive evaluation

Abstract

The invention discloses a launching success rate rapid evaluation system based on multi-attribute fusion fuzzy comprehensive evaluation. The system comprises an equipment index system construction module, an equipment data acquisition and management module, an equipment index feature extraction module and an equipment combat readiness stage launching success rate rapid evaluation module. Based on multi-attribute data of equipment, various data of the equipment are acquired by adopting theories and technologies such as an analytic hierarchy process, a data mining method and a fuzzy theory, and launching success rate evaluation of the equipment in a combat readiness stage is completed through feature extraction and multi-attribute fusion. According to the method, multi-level evaluation is carried out on equipment from three levels of parameters, core single machines and whole bullets by combining actual test data of multiple models, multiple products, multiple batches and multiple single machines collected under an equipment test task, qualitative factors are quantified by determining initial weights of evaluation indexes in the same level, subjective influences are reduced to a certain degree, and the evaluation efficiency is improved. And the evaluation is more scientific.

Description

technical field [0001] The invention relates to the technical field of equipment health management, in particular to a rapid evaluation system for launch success rate based on multi-attribute fusion fuzzy comprehensive evaluation. Background technique [0002] At present, the evaluation of the launch success rate of equipment in the combat readiness stage is mostly done based on manual experience. Such evaluation results are usually in a "good or bad" mode, which is difficult to quantify, and the accuracy and confidence are not high. Moreover, such an evaluation method is difficult to achieve. Immediate and fast, it does not adapt to the ever-changing situation of the battlefield. In recent years, with the development of big data and artificial intelligence technology, there have been many methods of evaluating the success rate of equipment launch by machines instead of manual work, but there are still problems such as single evaluation results and low accuracy. [0003] Th...

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Problems solved by technology

Future equipment troops must have the ability to quickly launch large quantities of equipment and strike accurately. For the test data results of large quantities of missiles, the workload is heavy, the evaluation time is long, the reliability is low, and there is a high degree of contingency, which is not conducive to accurate equipment testing. Evaluate

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