Abstract:
In fuzzy rule based models, redundancy may be present in the form of similar fuzzy sets, especially if the models are acquired from data by using techniques like fuzzy cl...Show MoreMetadata
Abstract:
In fuzzy rule based models, redundancy may be present in the form of similar fuzzy sets, especially if the models are acquired from data by using techniques like fuzzy clustering or gradient learning. The result is an unnecessarily complex and a less effective linguistic description of the system. An automated method is proposed that reduces the number of fuzzy sets in the model using a similarity measure. A comprehensive linguistic description is obtained by linguistic approximation. A numerical example demonstrates the approach.
Published in: Proceedings of IEEE 5th International Fuzzy Systems
Date of Conference: 11-11 September 1996
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-3645-3