Note on "Some models for deriving the priority weights from interval fuzzy preference relations"

被引：29
|
作者：
Hu, Mingming [1 ]
Ren, Peiyu [1 ]
Lan, Jibin [2 ]
Wang, Jun [1 ,3 ]
Zheng, Weimin [1 ,4 ]
机构：
[1] Sichuan Univ, Sch Business, Chengdu 610065, Peoples R China
[2] Guangxi Univ, Coll Math & Informat Sci, Nanning 530004, Peoples R China
[3] Sichuan Normal Univ, Sch Business, Chengdu 610101, Peoples R China
[4] Univ Washington, Seattle, WA 98105 USA
来源：
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 2014年 / 237卷 / 02期
基金：
中国国家自然科学基金; 国家教育部博士点专项基金资助;
关键词：
Decision support systems; Interval fuzzy preference relation; Additive consistency; Linear programming model;
D O I：
10.1016/j.ejor.2014.03.021
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
Deriving accurate interval weights from interval fuzzy preference relations is key to successfully solving decision making problems. Xu and Chen (2008) proposed a number of linear programming models to derive interval weights, but the definitions for the additive consistent interval fuzzy preference relation and the linear programming model still need to be improved. In this paper, a numerical example is given to show how these definitions and models can be improved to increase accuracy. A new additive consistency definition for interval fuzzy preference relations is proposed and novel linear programming models are established to demonstrate the generation of interval weights from an interval fuzzy preference relation. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码：771 / 773
页数：3
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