基于信息熵的模糊综合评价算法研究

Computer Training Project of the Multistage Fuzzy Comprehensive Evaluation

模糊综合评价已在"内涵明确,外延不明确"的问题上得到普遍的应用。为了提高评价的可信度,降低模糊综合评价过程中存在的主观性,通过计算各指标的信息熵来构建各层指标的权值,并与指标的主观权值结合,从而降低了模糊评价模型中的主观性影响。用基于修正后的模糊算法开发了一个应用系统,以该系统为实例验证了算法的可行性。

Fuzzy comprehensive evaluation obtains the universal application in the ＂clear connotation,denotation not clear＂ question.In order to improve the credibility of evaluation and reduce the fuzzy comprehensive evaluation of exis-ting in the course of subjectivity,this paper,through calculating of the index to construct the information entropy of each layer of the index weights,and combinating the subjective weights of index reduced the fuzzy evaluation model of the subjective influence.Based on the revised fuzzy algorithm,this paper developed an application system and used the system as an example to verify the feasibility of the algorithm.