规则优先权排序的直觉模糊群决策算法  

Intuitionistic Fuzzy Group Decision Making Algorithm for Rule Priority Ranking

作　　者：赖于树[1,2] 熊燕[1] 刘毓[1] 

机构地区：[1]重庆三峡学院电子与信息工程学院,重庆404100 [2]电子科技大学机械电子工程学院,四川成都611731

出　　处：《信息与控制》2013年第3期314-319,326,共7页Information and Control

基　　金：重庆市自然科学基金资助项目(CSTC2010BB7316);重庆市教委科学技术研究项目(KJ111113)

摘　　要：为了确保规则优先权排序的合理性,提高排序质量,提出了规则优先权排序的直觉模糊群决策算法.首先根据规则优先权的影响因素,提出了基于多属性群决策的排序模型;然后针对属性评价信息的特点,采用基于直觉梯形模糊数的属性信息表示与聚合方法,再通过直觉梯形模糊数的期望值和预期得分对规则排序进行综合评判;最后通过实例分析验证了所提出方法的可行性和有效性.An intuitionistic fuzzy group decision making algorithm is proposed to ensure the rationality of priority ranking and to improve the quality of ranking. Firstly, according to the influencing factors of the rule priorities, a multi-attribute group decision making based ranking model is proposed. Then, considering the characteristics of the experts＇ attributes evaluation information, the intuitionistic trapezoidal fuzzy number based information representation and aggregation method is adopted, and the rule ranking is evaluated in terms of the expectation and expectant score of the intuitionistic trapezoidal fuzzy number. Finally, an example analysis demonstrates the feasibility and effectiveness of the proposed method.

关 键 词：故障诊断 多属性群决策 直觉梯形模糊数 优先权排序 规则推理 

分 类 号：TP391.5[自动化与计算机技术—计算机应用技术]