基于GOWA算子的直觉模糊多属性决策方法  

Generalized OWA Operators Based on Multiattribute Decision Making Methodology Using Intuitionistic Fuzzy Sets

作　　者：伍之前[1] 李登峰[2] 

机构地区：[1]海军大连舰艇学院博士生队,辽宁大连116018 [2]海军大连舰艇学院作战指挥系,辽宁大连116018

出　　处：《运筹与管理》2010年第3期60-64,共5页Operations Research and Management Science

基　　金：国家自然科学基金资助项目资助(70871117)

摘　　要：针对直觉模糊环境下的多属性决策问题,提出了一种基于广义有序加权平均(GOWA)算子的决策方法。首先构造了直觉模糊集相对隶属度和相对非隶属度计算公式,使得决策方案的定性、定量指标的属性评价值和权重都可以用直觉模糊集进行统一描述,然后提出能集结直觉模糊集的GOWA算子,进而建立了直觉模糊多属性决策问题的GOWA决策方法。最后利用一个实例对文中模型与方法进行了验证、说明。The aim of this paper is to develop a methodology based on the GOWA（generalized ordered weighted averaging）operator for solving multiattribute decision making（MADM）problems under intuitionistic fuzzy（IF）environment.In this methodology,the formulae for relative degrees of membership and relative degrees of non-membership are chosen,the weights and the values of alternatives on both qualitative and quantitative attributes may be expressed as IF sets（IFSs）in a unified way,then a methodology based on GOWA operators for MADM problems under IF environment is proposed.The method proposed in this paper is illustrated with a numerical example.

关 键 词：多属性决策 广义有序加权平均(GOWA)算子 直觉模糊集 有序加权平均(OWA)算子 模糊集 

分 类 号：C934[经济管理—管理学]