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基于模糊推理的权重优化
引用本文:刘宏兵,李刚,熊盛武.基于模糊推理的权重优化[J].计算机工程与设计,2006,27(9):1530-1532.
作者姓名:刘宏兵  李刚  熊盛武
作者单位:武汉理工大学,计算机科学与技术学院,湖北,武汉,430070;信阳师范学院,计算机系,河南,信阳,464000;信阳师范学院,计算机系,河南,信阳,464000;武汉理工大学,计算机科学与技术学院,湖北,武汉,430070
基金项目:中国科学院资助项目;湖北省自然科学基金
摘    要:利用模糊推理技术建立了一种基于模糊推理的权重优化模型.该模型利用人们处理复杂问题的逻辑思维方式,通过评价空间和单位评价空间的映射,建立模糊关系方程并将其转化为优化问题得到权重.实验结果表明,利用该模型得到的权重能反映各因素的重要性,用其对待评对象进行模糊综合,结果也是合理的.

关 键 词:模糊推理  权重优化  模糊综合评价  模糊规则  模糊关系方程
文章编号:1000-7024(2006)09-1530-03
收稿时间:2005-03-07
修稿时间:2005-03-07

Weights optimization based on fuzzy reasoning
LIU Hong-bing,LI Gang,XIONG Sheng-wu.Weights optimization based on fuzzy reasoning[J].Computer Engineering and Design,2006,27(9):1530-1532.
Authors:LIU Hong-bing  LI Gang  XIONG Sheng-wu
Affiliation:1. School of Computer Science and Technology, Wuhan University of Technology, Wuhan 430070, China; 2. Department of Computer, Xinyang Normal University, Xinyang 464000, China
Abstract:Algorithm of weights optimization based on fuzzy reasoning was presented by using fuzzy reasoning technology. Complying with the logical thought model in which people usually deal with complicated problems, fuzzy mapping between evaluation space and identity evaluation space was established. Thus fuzzy relation equation was formed and converted into the optimization problem, which could be used to decide the weight of factors. Experiment result shows that the weight obtained by this model could reflect the importance of factors, and the results of fuzzy comprehensive evaluation are also reasonable.
Keywords:fuzzy reasoning  weights optimization  fuzzy comprehensive evaluation  fuzzy rules  fuzzy relation equation
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