A Trapezoidal Fuzzy Multiple Attribute Decision Making Based on Rough Sets

被引：0
|
作者：
Lv, Zhi-Ying [1 ,2 ]
Huang, Ping [2 ]
Zhang, Xian-Yong [3 ,4 ]
Zheng, Li-Wei [5 ]
机构：
[1] Univ Elect Sci & Technol China, Coll Math, Chengdu 611731, Sichuan, Peoples R China
[2] Chengdu Univ Informat Technol, Coll Management, Chengdu, Sichuan, Peoples R China
[3] Sichuan Normal Univ, Coll Math & Software Sci, Chengdu, Sichuan, Peoples R China
[4] Sichuan Normal Univ, Inst Intelligent Informat & Quantum Informat, Chengdu, Sichuan, Peoples R China
[5] Chengdu Univ Informat Technol, Coll Appl Math, Chengdu, Sichuan, Peoples R China
来源：
FUZZY SYSTEMS AND DATA MINING II | 2016年 / 293卷
关键词：
FMADM; trapezoidal fuzzy number; centroid points; attribute reduction; rough sets;
D O I：
10.3233/978-1-61499-722-1-94
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fuzzy multiple attribute decision making (FMADM) is an efficient way to solve complex systems, and has wide, practical application. This paper studies the FMADM of the trapezoidal fuzzy number. In order to achieve desirable decision making, the similarity measures between two trapezoidal fuzzy numbers is defined, which is based on a new method for ranking fuzzy numbers. A new algorithm is proposed to remove surplus attributes. This algorithm is based on rough sets and the technique for order of preference by similarity to ideal solution (TOPSIS) method; Finally, an example is examined to demonstrate the model's use in practical problems.
引用
收藏
页码：94 / 101
页数：8
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