Acılar, Ayşe MerveArslan, Ahmet2020-03-262020-03-262008978-960-474-028-41790-5109https://hdl.handle.net/20.500.12395/225518th WSEAS International Conference on Applied Computer Science (ACS 08) -- NOV 21-23, 2008 -- Venice, ITALYA clonal selection algorithm (CLONALG) inspires from Clonal Selection Principle used to explain the basic features of an adaptive immune response to an antigenic Stimulus. In this study, a new method is proposed for optimization of the Multiple Input Single Output (MISO) fuzzy membership functions using CLONALG. The most appropriate placement of membership functions with respect to fuzzy variables can be determined using our method for a fuzzy system whose rules table and shape of membership functions were given previously. Also, how the membership functions compute as a parameter optimization problem using CLONALG is descried for MISO fuzzy system on an illustrative example.eninfo:eu-repo/semantics/closedAccessMultiple Input Single Output Fuzzy Membership FunctionsOptimizationClonal Selection AlgorithmConference Object49+WOS:000264170900006N/A