학술논문

Importance of membership functions: a comparative study on different learning methods for fuzzy inference systems
Document Type
Conference
Source
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Fuzzy systems Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on. :1791-1796 vol.3 1994
Subject
Computing and Processing
Learning systems
Fuzzy systems
Fuzzy reasoning
Shape
Inference mechanisms
Fuzzy neural networks
Marine vehicles
Production
Neural networks
Fuzzy sets
Language
Abstract
This paper investigates different adaptive structures for fuzzy inference systems. We examine the effect of membership functions on reasoning process when the number of rules is fixed. Three commonly used membership function shapes have been employed in this study. It has been shown that membership functions have the dominant effect on reasoning process rather than number of rules or inference mechanism. We compare our adaptive membership function scheme with two already proposed by others.ETX