Designing Fuzzy Sets With the Use of the Parametric Principle of Justifiable Granularity

被引：107

作者：

Pedrycz, Witold ^{[1
,2
,3
]}

Wang, Xianmin ^{[4
]}

机构：

[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2R3, Canada

[2] King Abdulaziz Univ, Fac Engn, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia

[3] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland

[4] China Univ Geosci, Inst Geophys & Geomat, Hubei Subsurface Multiscale Imaging Key Lab, Wuhan 430074, Peoples R China

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2016年 / 24卷 / 02期

基金：

中国国家自然科学基金; 加拿大自然科学与工程研究理事会;

关键词：

Coverage of data; interval-valued fuzzy set; membership function determination; principle of justifiable granularity; specificity; type-2 fuzzy set; MEMBERSHIP FUNCTIONS; UNCERTAINTY; SYSTEM;

D O I：

10.1109/TFUZZ.2015.2453393

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

This study is concerned with a design of membership functions of fuzzy sets. The membership functions are formed in such a way that they are experimentally justifiable and exhibit a sound semantics. These two requirements are articulated through the principle of justifiable granularity. The parametric version of the principle is discussed in detail. We show linkages with type-2 fuzzy sets, which are constructed on a basis of type-1 fuzzy sets. Several experimental studies are reported, which illustrate a behavior of the introduced method.

引用

页码：489 / 496

页数：8

共 26 条

[1]

A Clustering-analysis-based membership functions formation method for fuzzy controller of ball mill pulverizing system [J].