DocumentCode
1660858
Title
An interval type-2 fuzzy perceptron
Author
Rhee, Frank Chung-Hoon ; Hwang, Cheul
Author_Institution
Dept. of Electron. Eng., Hanyang Univ., Ansan, South Korea
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1331
Lastpage
1335
Abstract
This paper presents an interval type-2 fuzzy perceptron algorithm that is an extension of the type-1 fuzzy perceptron algorithm proposed by J. Keller et al. (1985). In our proposed method, the membership values for each pattern vector are extended as interval type-2 fuzzy memberships by assigning uncertainty to the type-1 memberships. By doing so, the decision boundary obtained by interval type-2 fuzzy memberships can converge to a more desirable location than the boundary obtained by crisp and type-1 fuzzy perceptron methods. Experimental results are given to show the effectiveness of our method
Keywords
convergence; fuzzy neural nets; perceptrons; uncertainty handling; convergence; decision boundary; fuzzy membership functions; interval type-2 fuzzy perceptron algorithm; pattern vector membership values; type-1 memberships; uncertainty assignment; Computer vision; Convergence; Fuzzy systems; Iterative algorithms; Laboratories; Machine vision; Uncertainty; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1006697
Filename
1006697
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