Based on Normal Cloud Model and D-S Evidence Theory Comprehensive Evaluation of Operation State of Fire Control System

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) Pub Date : 2019-08-01 DOI:10.1109/SDPC.2019.00167

Yingshun Li, Aina Wang, X. Yi

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Abstract

The characteristic information of fire control system is miscellaneous, which reflects the operation status of fire control system from different levels. However, due to the inaccuracy of measurement process, the evaluation criteria are not uniform.This will cause great ambiguity and uncertainty for real-time control of the health state of the fire control system.The traditional fuzzy comprehensive evaluation model only considers the fuzziness of the index but ignores the randomness. The cloud model theory considers both the fuzziness and the randomness of things. The model is applied to the fire control system. The analytic hierarchy process (AHP) is applied to obtain the correlation degree between the index and the operation level.In the overall evaluation of fire control system, the weight of feature state information is obtained by the method based on evidence trust degree, which avoids the influence of subjective weight on the overall evaluation results.D-S evidence theory is used to evaluate the overall operation status of fire control system.The validity of this method for real-time health control of fire control system is verified by an example.

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基于正态云模型和D-S证据理论的火控系统运行状态综合评价

火控系统的特征信息繁杂，从不同层面反映了火控系统的运行状况。然而，由于测量过程的不准确性，评价标准并不统一。这将给火控系统健康状态的实时控制带来很大的模糊性和不确定性。传统的模糊综合评价模型只考虑指标的模糊性而忽略了随机性。云模型理论同时考虑了事物的模糊性和随机性。该模型应用于火控系统。运用层次分析法(AHP)得到指标与经营水平之间的关联度。在火控系统整体评价中，采用基于证据信任度的方法确定特征状态信息的权重，避免了主观权重对整体评价结果的影响。采用D-S证据理论对火控系统的整体运行状态进行评估。通过算例验证了该方法对火控系统实时健康控制的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

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