A decision support model for group decision making with hesitant fuzzy preference relations

被引：82
|
作者：
Zhang, Zhiming [1 ]
Wang, Chao [2 ]
Tian, Xuedong [3 ]
机构：
[1] Hebei Univ, Coll Math & Informat Sci, Baoding 071002, Hebei, Peoples R China
[2] Hebei Univ Engn, Sch Econ & Management, Handan 056038, Hebei, Peoples R China
[3] Hebei Univ, Sch Comp Sci & Technol, Baoding 071002, Hebei, Peoples R China
来源：
KNOWLEDGE-BASED SYSTEMS | 2015年 / 86卷
基金：
中国国家自然科学基金;
关键词：
Hesitant fuzzy set (HFS); Hesitant fuzzy element (HFE); Hesitant fuzzy preference relation (HFPR); Consistency; Consensus; AGGREGATION OPERATORS; CONSENSUS MODEL; CONSISTENCY; SETS;
D O I：
10.1016/j.knosys.2015.05.023
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we develop a decision support model that simultaneously addresses the consistency and consensus for group decision making based on hesitant fuzzy preference relations. The concepts of a consistency index and a consensus index are introduced. Two convergent algorithms are proposed in the developed support model. The first algorithm is used to convert an unacceptable hesitant fuzzy preference relation to an acceptable one. The second algorithm is utilized to help the group reach a predefined consensus level. The main characteristic of the developed model is that it makes each hesitant fuzzy preference relation maintain acceptable consistency when the predefined consensus level is achieved. Several illustrative examples are given to illustrate the effectiveness and practicality of the developed model. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：77 / 101
页数：25
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