An Extended VIKOR Method for Decision Making Problem with Interval-Valued Linguistic Intuitionistic Fuzzy Numbers Based on Entropy

被引：13
|
作者：
Liu, Peide [1 ]
Qin, Xiyou [1 ]
机构：
[1] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China
来源：
INFORMATICA | 2017年 / 28卷 / 04期
基金：
中国国家自然科学基金;
关键词：
multiple attribute decision making; interval-valued linguistic intuitionistic fuzzy numbers; interval-valued linguistic intuitionistic fuzzy entropy; VIKOR method; AGGREGATION OPERATORS; TERM SETS; INFORMATION; SELECTION; MODEL;
D O I：
10.15388/Informatica.2017.151
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, with respect to how to express the complex fuzzy information, we proposed the concept of interval-valued linguistic intuitionistic fuzzy numbers (IVLIFNs), whose membership and non-membership are represented by interval-valued linguistic terms, then the Hamming distance is defined, further, we also proposed the interval-valued linguistic intuitionistic fuzzy entropy. Considering that the VIKOR method can achieve the maximum "group utility" and minimum of "individual regret", we extended the VIKOR method to process the interval-valued linguistic intuitionistic fuzzy information (IVLIFI), and proposed an extended VIKOR method for the multiple attribute decision making (MADM) problems with IVLIFI. And an illustrative example shows the effectiveness of the proposed approach.
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页码：665 / 685
页数：21
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