A novel distance of intuitionistic trapezoidal fuzzy numbers and its-based prospect theory algorithm in multi-attribute decision making model

被引：3
|
作者：
Ren, Haiping [1 ]
Luo, Laijun [2 ]
机构：
[1] Jiangxi Univ Sci & Technol, Teaching Dept Basic Subjects, Nanchang 330013, Jiangxi, Peoples R China
[2] Jiangxi Univ Sci & Technol, Sch Software & Engn, Nanchang 330013, Jiangxi, Peoples R China
来源：
MATHEMATICAL BIOSCIENCES AND ENGINEERING | 2020年 / 17卷 / 04期
基金：
中国国家自然科学基金;
关键词：
intuitionistic trapezoidal fuzzy number; distance measure; multi-attribute decision making method; prospect theory; risk attitude; AGGREGATION OPERATORS; NEAREST INTERVAL; SOFT SETS; APPROXIMATION;
D O I：
10.3934/mbe.2020163
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The aim of this paper is to develop a new decision making method considering decision makers' psychological behavior for multi-attribute decision making problem under intuitionistic trapezoidal fuzzy environment. We first put forward a new distance measure of intuitionistic trapezoidal fuzzy numbers. Then combining with cumulative prospect theory, we develop a novel decision making method, which can consider risk attitude of decision makers. Finally, an example is given to demonstrate the effectiveness and practicability of the proposed method.
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页码：2905 / 2922
页数：18
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