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Optimization-based group decision making using interval-valued intuitionistic fuzzy preference relations
被引:33
作者:
Zhang, Zhiming
[1
]
Chen, Shyi-Ming
[2
]
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
关键词:
GDM;
IVIFPR;
Consistency;
Consensus;
Optimization model;
AGGREGATION OPERATORS;
MULTIPLICATIVE CONSISTENCY;
CONSENSUS;
ALGORITHM;
D O I:
10.1016/j.ins.2020.12.047
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper, we propose an optimization-based group decision making (GDM) method using interval-valued intuitionistic fuzzy preference relations (IVIFPRs). First, the concept of consistency of intuitionistic fuzzy preference relations (IFPRs) is provided. Moreover, the consistency index for IFPRs is presented. Subsequently, by splitting an IVIFPR into two IFPRs, an additive consistency is proposed for IVIFPRs. Afterward, a consensus index is presented for GDM. When the consistency and the consensus do not achieve the requirement, we propose several models to reach the requirement. Furthermore, individual IVIFPRs are integrated into a collective IVIFPR. After that, a procedure is offered to obtain the interval-valued intuitionistic fuzzy (IVIF) priority weights of the alternatives. Moreover, a new GDM method with IVIFPRs is offered. Finally, some application examples are offered. The proposed GDM method can conquer the shortcomings of the existing GDM methods. It offers us a useful way for GDM in the IVIF context. (c) 2020 Elsevier Inc. All rights reserved.
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页码:352 / 370
页数:19
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