A new approach for ranking of interval type-2 trapezoidal fuzzy numbers

被引：8
|
作者：
Gong, Yanbing [1 ]
Yang, Shuxin [1 ]
Dai, Liangliang [1 ]
Hu, Na [1 ]
机构：
[1] Hohai Univ, Dept Informat Management, Changzhou, Peoples R China
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2017年 / 32卷 / 03期
关键词：
Interval type-2 fuzzy numbers; magnitude mean value; magnitude variance; possibility degree; CRITERIA DECISION-ANALYSIS; SETS; FUZZISTICS; SYSTEMS;
D O I：
10.3233/JIFS-161279
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Interval type-2 fuzzy sets (IT2 FSs) provide us with additional degrees of freedom to represent the uncertainty and the fuzziness of the real word than traditional type-1 fuzzy sets (T1 FSs). In many applications, ranking of interval type-2 fuzzy numbers is an important component in the decision process. In this paper, the concepts of magnitude mean value and variance of interval type-2 trapezoidal fuzzy numbers (IT2 TrFNs) are introduced and some of their properties are studied.. Then, we propose a new magnitude mean-variance possibility degree method to solve ranking of interval type-2 trapezoidal fuzzy numbers. Finally, some comparative examples are used to illustrate the advantage of the proposed method.
引用
收藏
页码：1891 / 1902
页数：12
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