@inproceedings{8e29b3edf2e24245b86c2e66dcb9547c,
title = "An enhanced approach to rule base simplification of first-order takagi-sugeno fuzzy inference systems",
abstract = "Fuzzy rule base simplification is used to reduce the complexity of fuzzy models identified from the data. In this paper, an enhanced approach is proposed for simplifying the rule base of fuzzy inference systems when all the membership functions for a variable are highly similar to one another. In this case it is possible to remove a variable from the rule antecedent, but keep it in the rule consequent. Experimental results show that simpler rules can be obtained while barely sacrificing accuracy.",
keywords = "Jaccard similarity merging, Rule base simplification, Takagi-Sugeno fuzzy inference systems, Transparent models",
author = "C.E.M. Fuchs and A.M. Wilbik and {van Loon}, S.L.M. and A.-K. Boer and U. Kaymak",
year = "2018",
doi = "10.1007/978-3-319-66824-6_9",
language = "English",
isbn = "978-3-319-66823-9",
volume = "2",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "92--103",
editor = "{Kacprzyk }, J. and {Szmidt }, E. and {Zadro{\.z}ny }, S. and K.T. Atanassov and M. Krawczak",
booktitle = "Advances in Fuzzy Logic and Technology 2017",
address = "Germany",
note = "4th Annual Symposium on Combinatorial Pattern Matching (CPM1993), June 2-4, 1993, Padova, Italy, CPM 1993 ; Conference date: 02-06-1993 Through 04-06-1993",
}