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出 处:《模式识别与人工智能》2007年第3期343-348,共6页Pattern Recognition and Artificial Intelligence
基 金:辽宁省教育厅高等学校科学研究资助项目(No.202183381)
摘 要:主要目的是将结构元理论引入到模糊多属性决策中,以简化传统决策的复杂运算.折衷型群决策方法是经典多属性群决策中最常用的方法之一,本文根据该方法的原理提出两种基于结构元理论的模糊多属性群决策的折衷型方法.同时借助实例进行决策运算.最后与传统方法进行比较,本文所提出的这两种算法对于进一步研究模糊多属性群决策问题有较好的参考作用.The purpose of this paper is to introduce the structured element theory into fuzzy multiattribute decision making, and to simplify the complex operations of traditional fuzzy decision making. The compromised group decision making method is one of the most commonly methods in classical multi-attribute group decision making. According to the principle of this method , two kinds of fuzzy compromised group decision making methods based onthe structured element theory are put forward. The decision making is carried out by using the example from Transformation Group of Monotone Functions with Same Monotonic Formal on I--- 1,17 and Operations of Fuzzy Numbers by Sizong Guo. Finally, the proposed methods are compared with the traditional decision making methods. The proposed methods have decision making problems. a reference value to the fuzzy multi-attribute group decision making problems.
关 键 词:模糊多属性群决策 模糊结构元 极大函数 极小函数 海明距离
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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