Type-2 fuzzy sets and systems: An overview

被引:677
作者
Mendel, Jerry M. [1 ]
机构
[1] Univ So Calif, Los Angeles, CA 90089 USA
关键词
D O I
10.1109/MCI.2007.380672
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper provides an introduction to and an overview of type-2 fuzzy sets (T2 FS) and systems. It does this by answering the following questions: What is a T2 FS and how is it different from a T1 FS? Is there new terminology for a T2 FS? Are there important representations of a T2 FS and, if so, why are they important? How and why are T2 FSs used in a rule-based system? What are the detailed computations for an interval T2 fuzzy logic system (IT2 FLS) and are they easy to understand? Is it possible to have an IT2 FLS without type reduction? How do we wrap this up and where can we go learn more?
引用
收藏
页码:20 / 29
页数:10
相关论文
共 12 条
  • [1] [Anonymous], P IEEE INT C FUZZ SY
  • [2] [Anonymous], 2006, IEEE T FUZZY SYSTEMS
  • [3] Coupland S, 2005, IEEE INT CONF FUZZY, P236
  • [4] Centroid of a type-2 fuzzy set
    Karnik, NN
    Mendel, JM
    [J]. INFORMATION SCIENCES, 2001, 132 (1-4) : 195 - 220
  • [5] Klir G.J., 1988, FOLGER FUZZY SETS UN
  • [6] Mendel J.M., 2003, IEEE Connect. Newsl. IEEE Neural Netw. Soc., V1, P10
  • [7] Advances in type-2 fuzzy sets and systems
    Mendel, Jerry M.
    [J]. INFORMATION SCIENCES, 2007, 177 (01) : 84 - 110
  • [8] Type-2 fuzzy sets made simple
    Mendel, JM
    John, RI
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2002, 10 (02) : 117 - 127
  • [9] Mendel JM., 2001, Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions
  • [10] A triangular type-2 fuzzy logic system
    Starczewski, Janusz T.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2006, : 1460 - 1467