基于信息熵的水下航行器灰色评估方法研究

利用信息熵具有客观性、确定性的良好特性,应用灰色聚类评估方法,结合水下航行器系统的自身特点,提出了基于信息熵的水下航行器灰色评估方法,解决了水下航行器传统评估方法中主观因素的干扰问题,提高了评估方法的客观性和可信性,为水下航行器系统的效能评估研究提供了一种新方法。采用该方法对水下航行器3种型号实例系统进行了应用分析,结果表明,该方法正确、可行,解决了存在的问题。可用于水下航行器系统的发展论证及实际应用,为水下航行器系统的设计、研发和使用提供了科学的理论决策依据。

Improving Effectiveness Evaluation of Underwater Vehicle System Using Information Entropy Theory

Aim. Existing methods of effectiveness evaluation draw on the experience of experts,thus bringing in the subjective factor that sometimes influences unduly the effectiveness of evaluation.In this paper,by using information entropy theory coupled with grey evaluation,we can avoid the subjective factor in the form of the experience of experts.In the full paper,we explain in detail our evaluation method;in this abstract,we just add some pertinent remarks to listing the two topics of explanation:(1) the characteristics of information entropy;(2) the evaluation method of underwater vehicle using information entropy theory.The subtopics of topic 1 are the definition of information entropy(subtopic 1.1) and the characteristics of information entropy(subtopic 1.2).The eight subtopics of topic 2 are: the construction of the evaluation index system of underwater vehicle(subtopic 2.1),the normalization of the evaluation index data (subtopic 2.2),the weight of information entropy of evaluation index(subtopic 2.3),the assumption of the grey levels of an underwater vehicle(subtopic 2.4), the determination of the matrix of evaluation sample(subtopic 2.5),the calculation of the value of grey evaluation(subtopic 2.6),the construction of the weight matrix of grey evaluation(subtopic 2.7),and the calculation of the comprehensive value of evaluation(subtopic 2.8).Eqs.(5) and(16) in subtopics 2.3 and 2.8 respectively are particularly important.Finally we give an example for the effectiveness evaluation of three underwater vehicles;the evaluation index data for three underwater vehicles are respectively given in Table 1 in the full paper;matrices S and R are calculated respectively with eqs.(5) and(16) in the full paper;these results indicate preliminarily that this evaluation method is feasible and reasonable.