Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (3): 529-532.doi: 10.3969/j.issn.1001-506X.2012.03.18

• 系统工程 • 上一篇    下一篇

基于模糊偏序关系的混合型多属性决策方法

陈小卫1,王文双1,宋贵宝2,宋殿宇3   

  1. 1. 海军航空工程学院科研部, 山东 烟台 264001;
    2.海军航空工程学院飞行器工程系, 山东 烟台 264001;
    3. 北京航空航天大学经济管理学院, 北京 100191
  • 出版日期:2012-03-22 发布日期:2010-01-03

Hybrid multiattribute decision making based on fuzzy preference relation

CHEN Xiao-wei1, WANG Wen-shuang1, SONG Gui-bao2, SONG Dian-yu3   

  1. 1. Department of Scientific Research, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Department of Airborne Vehicle Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    3. School of Ecomomics and Management, Beihang University, Beijing 100191, China
  • Online:2012-03-22 Published:2010-01-03

摘要:

针对权重已知且属性值为精确实数型、区间型和模糊型的混合型多属性决策问题,提出了一种基于模糊偏序关系的混合型多属性决策方法。该方法利用混合型评估值模型来描述多属性决策问题;在对属性值预处理后,通过构建混合型模糊偏序关系模型,将决策问题转化为评估关系模型;然后对偏序关系进行集结,得到全序关系,从而获取所有方案的优劣排序。算例验证了方法的有效性。计算过程表明,该方法计算简单,且避免了逼近理想解的排序方法(technique for order preference by similarity to ideal solution,TOPSIS)难以合理定义距离函数的局限性。

Abstract:

An approach based on fuzzy preference relationship is proposed to solve the multiattribute decision making problem whose attributes weights are known, and attributes values include real number, interval number and fuzzy number. The approach uses a hybrid evaluation value model to describe the hybrid multiattribute decision making problem. A hybrid fuzzy preference relation model is established after pretreatment, which transforms the decision problem into an evaluation relation model; then the fuzzy preference relation is aggregated to a complete order relation, and the preference orders of all objects are obtained. The validity of the method is verified by an example. The calculation process shows that the approach can avoid the problem that it is hard to define rational distance functions in technique for order preference by similarity to ideal solution (TOPSIS).

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