A New Definition of Evaluation/Defuzzification of an Interval Type-2 Fuzzy Set

被引：1
|
作者：
Anzilli, Luca [1 ]
Facchinetti, Gisella [1 ]
Pirotti, Tommaso [2 ]
机构：
[1] Univ Salento, Dept Management Econ Math & Stat, Salento, Italy
[2] Univ Modena & Reggio Emilia, Dept Econ Marco Biagi, Modena, Italy
来源：
STRENGTHENING LINKS BETWEEN DATA ANALYSIS AND SOFT COMPUTING | 2015年 / 315卷
关键词：
Fuzzy sets; fuzzy quantities; interval type-2 fuzzy sets; evaluation; QUANTITIES; RANKING; SYSTEMS;
D O I：
10.1007/978-3-319-10765-3_5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we propose a new evaluation/defuzzification formula for an Interval Type-2 Fuzzy Quantity (IT2 FQ), that is an Interval Type-2 Fuzzy Set (IT2 FS) defined by two Type-1 Fuzzy Quantities (T1 FQs) having membership functions that may be neither convex nor normal. We start from a parametric formula to evaluate them and we propose to call the IT2 FQ value their average. To compare the results we obtain changing the parameters, we use the final output of an example of Interval Type-2 Fuzzy Logic System (IT2 FLS).
引用
收藏
页码：37 / 45
页数：9
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