基于FNN和RS理论的综合评估及应用实例

为较好解决武器系统效能综合评价与分析的问题,提出一种新的综合评价与 分析方法。以某一类型的武器装备的效能评估为例,利用模糊神经网络(FNN)的方法和粗 糙集(RS)理论方法对武器装备效能的优劣进行评估。首先,用FNN方法提取用于效能评 估的模糊规则,然后用一种新的处理不确定知识的数学工具,粗糙集理论方法对装备属性进 行约简,删除其中不相关或不重要的知识,选出最重要的且尽可能少的评价指标获得系统效 能评价的最小决策算法,进而分析得到系统效能的关键因素。

The System of Comprehensive Evaluation and Example of Application on Base of FNN and RS

In order to solve the problem of evaluating and analyzing weapon system effectiveness, a new synthetical a nalvsis and decision method is proposed in this paper. On the basis of the system of analyzing and evaluating a kind of weapon system, both FNN and RS sets are used for evaluating good and bad of weapon system. Firstly, a model of fuzzy neural network is (rained to get fuzzy rules and to realize the evaluation without experts. Secondly, Rough Set which is a new mathematical tool dealing with vagueness and uncertainty is used to reduce date and delete unimportant information and select the most important and the least evaluation arithmetic to analyze key factors.