A software tool: Type-2 fuzzy logic toolbox

被引:29
|
作者
Ozek, Muzeyyen Bulut [1 ]
Akpolat, Zuhtu Hakan [1 ]
机构
[1] Firat Univ, Tech Educ Fac, Dept Elect & Comp Sci, TR-23119 Elazig, Turkey
关键词
type-2 fuzzy logic; type-2 fuzzy sets; interval sets; type-2 fuzzy logic toolbox;
D O I
10.1002/cae.20138
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The concept of type-2 fuzzy set was initially proposed as an extension of classical (type-1) fuzzy sets. Type-2 fuzzy sets are very useful in circumstances where it is difficult to determine an exact membership function for a fuzzy set; hence they are very effective for dealing with uncertainties. However, type-2 fuzzy sets are more difficult to use and understand than type-1 fuzzy sets. Even in the face of these difficulties, type-2 fuzzy logic has found applications in many fields. In this article, a new Type-2 Fuzzy Logic Toolbox written in MATLAB programming language is introduced. The main aim is to help the user to understand and implement type-2 fuzzy logic systems easily. Type-2 Fuzzy Logic Controller Block is also prepared for use in SIMULINK. Since general type-2 fuzzy logic systems are very complicated, they are not preferred in applications. Thus, only interval type-2 fuzzy logic systems are considered in the proposed Type-2 Fuzzy Logic Toolbox. Since MATLAB Fuzzy Logic Toolbox users are familiar with its windows, all the menus of the developed software are prepared in the same format of the MATLAB Fuzzy Logic Toolbox. (c) 2008 Wiley Periodicals, Inc.
引用
收藏
页码:137 / 146
页数:10
相关论文
共 50 条
  • [1] Interval Type-2 Fuzzy Logic Toolbox
    Castro, Juan R.
    Castillo, Oscar
    Martinez, Luis G.
    [J]. ENGINEERING LETTERS, 2007, 15 (01)
  • [2] Toolbox for Interval Type-2 Fuzzy Logic Systems
    Zamani, Mohsen
    Nejati, Hossein
    Jahromi, Amin T.
    Partovi, Ali Reza
    Nobari, Sadegh H.
    Shirazi, Ghasem N.
    [J]. PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2008,
  • [3] An interval type-2 fuzzy logic toolbox for control applications
    Castro, Juan R.
    Castillo, Oscar
    Melin, Patricia
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4, 2007, : 61 - +
  • [4] Building fuzzy inference systems with the interval type-2 fuzzy logic toolbox
    Castro, J. R.
    Castillo, O.
    Melin, P.
    Martinez, L. G.
    Escobar, S.
    Camacho, I.
    [J]. ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 53 - +
  • [5] Computational Intelligence Software for Interval Type-2 Fuzzy Logic
    Castillo, Oscar
    Melin, Patricia
    Castro, Juan R.
    [J]. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 2013, 21 (04) : 737 - 747
  • [6] An Open Source Matlab/Simulink Toolbox for Interval Type-2 Fuzzy Logic Systems
    Taskin, Ahmet
    Kumbasar, Tufan
    [J]. 2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI), 2015, : 1561 - 1568
  • [7] Type-2 fuzzy description logic
    Li, Ruixuan
    Wen, Kunmei
    Gu, Xiwu
    Li, Yuhua
    Sun, Xiaolin
    Li, Bing
    [J]. FRONTIERS OF COMPUTER SCIENCE IN CHINA, 2011, 5 (02): : 205 - 215
  • [8] Type-2 fuzzy description logic
    Ruixuan Li
    Kunmei Wen
    Xiwu Gu
    Yuhua Li
    Xiaolin Sun
    Bing Li
    [J]. Frontiers of Computer Science in China, 2011, 5 : 205 - 215
  • [9] Type-2 fuzzy logic systems
    Karnik, NN
    Mendel, JM
    Liang, QL
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (06) : 643 - 658
  • [10] Type-2 fuzzy logic systems
    Univ of Southern California, Los Angeles, United States
    [J]. IEEE Trans Fuzzy Syst, 6 (643-658):