Group decision making with incomplete intuitionistic multiplicative preference relations

被引:46
|
作者
Zhang, Zhiming [1 ]
Chen, Shyi-Ming [2 ]
Wang, Chao [3 ]
机构
[1] Hebei Univ, Coll Math & Informat Sci, Hebei Key Lab Machine Learning & Computat Intelli, Baoding 071002, Peoples R China
[2] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan
[3] Hebei Univ Engn, Sch Management Engn & Business, Intelligent Comp & Financial Secur Lab, Handan 056038, Peoples R China
基金
中国国家自然科学基金;
关键词
GDM; Multiplicative consistency; Goal programming; Incomplete IMPR; IMS; AGGREGATION OPERATORS; FUZZY-SETS; CONSISTENCY; CONSENSUS; WEIGHTS; UNCERTAINTY; INFORMATION; MODELS; VALUES;
D O I
10.1016/j.ins.2019.12.042
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intuitionistic multiplicative preference relations (IMPRs) have been widely applied in decision making for their ability to efficiently express the uncertainty of information. This paper investigates the decision making with incomplete IMPRs. First, a new consistency of incomplete IMPRs is defined. Then, we present some optimization models for estimating missing values by maximizing the consistency level. After that, the group IMPR is derived by using membership degrees in individual intuitionistic multiplicative judgments. Subsequently, a transformation method is offered to build a consistent IMPR through a normalized intuitionistic fuzzy priority weight vector. Moreover, a model is presented to get intuitionistic fuzzy priority weights. Finally, we propose a group decision making (GDM) method with incomplete IMPRs. A practical GDM problem on venue selection for communication drills is offered to indicate the specific application of main theoretical results. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:560 / 571
页数:12
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