基于满意度的区间数多属性决策  

A Method of Multiple Attributes Decision-Making Based on Satisfied Degree

作　　者：狄钦[1] 陆亿红[1] 黄德才[1] 

机构地区：[1]浙江工业大学计算机科学与技术学院,杭州310023

出　　处：《计算机系统应用》2013年第8期180-183,共4页Computer Systems & Applications

基　　金：国家科技支撑计划(2012BAD10B0101);水利部公益性行业科研专项(201001031)

摘　　要：针对属性权重为实数而属性值为区间数的多属性决策问题,提出了一种基于满意度的多属性决策方法.本文借鉴连续有序加权平均算子中的满意度、区间数的可能度和集对分析联系数的相关知识,将区间数满意度和同异反三元联系数满意度引入了决策信息不确定性消除问题,接着利用OWA算子对满意度信息进行集结并对方案进行排序.最后进行对比实验,实验结果表明了该方法的有效性和可行性.With respect to attribute weights are interval number and attribute values are interval number, a multiple attributes decision-making method based on satisfied degree is proposed. By referring to the thought of the satisfied degree in C_OWA, the possibility-degree of interval number and the connection-number in set pair analysis, the satisfied-degree based on interval possibility and the satisfied degree based on connection-number are presented to Eliminate the uncertain information in decision data. These satisfied degrees are aggregated by OWA and rank the alternatives by the calculated values. The results of comparative experiment show the feasibility and efficiency of this proposed method.

关 键 词：区间数 多属性决策 集对分析 满意度 可能度 OWA 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]