Abstract
This paper presents an adaptation of the COR methodology to derive the rule base in TSK-type linguistic fuzzy rule-based systems. In particular, the work adapts an existing local search algorithm for Mamdani rules which was shown to find the best solutions, whilst reducing the number of evaluations in the learning process.
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Cózar, J., de la Ossa, L., Puerta, J.M. (2011). Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms. In: Lozano, J.A., Gámez, J.A., Moreno, J.A. (eds) Advances in Artificial Intelligence. CAEPIA 2011. Lecture Notes in Computer Science(), vol 7023. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25274-7_36
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DOI: https://doi.org/10.1007/978-3-642-25274-7_36
Publisher Name: Springer, Berlin, Heidelberg
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