共 50 条
Group decision making based on acceptable multiplicative consistency and consensus of hesitant fuzzy linguistic preference relations
被引:23
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
基金:
中国国家自然科学基金;
关键词:
GDM;
HFLPR;
Consistency;
Consensus;
Optimization model;
AGGREGATION OPERATORS;
TERM SETS;
DISTANCE;
SELECTION;
MODEL;
D O I:
10.1016/j.ins.2020.07.024
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 a new group decision making (GDM) method based on the acceptable multiplicative consistency and consensus of hesitant fuzzy linguistic preference relations (HFLPRs). First, an approach for improving the consistency of HFLPRs is proposed to generate an acceptable multiplicative consistent HFLPR. Then, a consensus index of HFLPRs is defined and an optimization model is presented to meet an acceptable consensus requirement under the premise of the acceptable multiplicative consistency and the smallest information loss, where it yields adjusted HFLPRs with an acceptable consistency and consensus. Then, the weights of decision makers (DMs) are calculated based on the obtained adjusted HFLPRs. Moreover, we propose a new GDM method based on HFLPRs. Finally, the proposed GDM method is illustrated by an application example and comparative analyses are conducted to show the performance and the superiority of the proposed GDM method. (C) 2020 Elsevier Inc. All rights reserved.
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页码:531 / 550
页数:20
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