Interval-valued intuitionistic fuzzy analytic network process

被引：16
作者：
Yang, Yang [1 ]
Li, Hongxu [1 ]
Zhang, Zhiming [2 ]
Liu, Xiaowei [3 ]
机构：
[1] Hebei Univ Engn, Sch Management Engn & Business, Handan 056038, Peoples R China
[2] Hebei Univ, Coll Math & Informat Sci, Baoding 071002, Peoples R China
[3] Hebei Univ Engn, Sch Math & Phys, Handan 056038, Peoples R China
来源：
INFORMATION SCIENCES | 2020年 / 526卷
基金：
中国国家自然科学基金;
关键词：
Interval-valued intuitionistic fuzzy analytic; network process; Interval-valued intuitionistic fuzzy; preference relation; Me measure; GROUP DECISION-MAKING; ALGORITHM; CONSISTENCY; STRATEGIES;
D O I：
10.1016/j.ins.2020.03.077
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The analytic network process framework is investigated to solve multi-criteria decision making problems in interval-valued intuitionistic fuzzy environments. First, a new approximate multiplicative consistent interval-valued intuitionistic fuzzy preference relation is defined, and the equivalent condition of approximate consistency is given by using the chance-constraint programming model of the Me measure. Second, a new method to derive the priorities from the interval-valued intuitionistic fuzzy preference relation is pro-posed, and the corresponding algorithm flow of the interval-valued intuitionistic fuzzy analytic network process is established. Finally, the feasibility and effectiveness of the interval-valued intuitionistic fuzzy analytic network process are verified by using a numerical example. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码：102 / 118
页数：17
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