Summary of the optimal computation of type-2 fuzzy Logic system

Author

Zhang, Ya-jing ; Liu, Dian-tong ; Yi, Jian-qiang

Author_Institution

Inst. of Comput., Yantai Univ., Yantai, China

fYear

2012

fDate

19-20 May 2012

Firstpage

749

Lastpage

753

Abstract

This paper provides an introduction to and an overview of type-2 fuzzy Logic system and its optimal computation. The difference between a type-2 fuzzy set (T2 FS) and a type-1 fuzzy set (T1 FS) is discussed. The need of optimal design for the type-2 fuzzy Logic system is presented. The important advance in the optimal computation for interval type-2 fuzzy sets (IT2 FLS) and systems is demonstrated. The opinion that the artificial immune algorithm (AIS) is a novel optimistic method in the study area of type-2 fuzzy logic system is presented. Further work that needs to be done with the AIS and other versions of intelligent algorithms is pointed out.

Keywords

artificial immune systems; fuzzy logic; fuzzy set theory; genetic algorithms; AIS; IT2 FLS; artificial immune algorithm; genetic algorithm; intelligent algorithms; interval type-2 fuzzy sets; optimal computation; optimal design; type-1 fuzzy set; type-2 fuzzy logic system; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Immune system; Optimization; Uncertainty; artificial immune algorithm; genetic algorithm; optimal computation; type-2 fuzzy logic system;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Informatics (ICSAI), 2012 International Conference on

Conference_Location

Yantai

Print_ISBN

978-1-4673-0198-5

Type

conf

DOI

10.1109/ICSAI.2012.6223119

Filename

6223119