Abstract
Abstract This special issue encompasses 11 papers devoted to the recent developments in the field of “genetic fuzzy systems”. The issue originated from presentations by nine of the authors at the Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'2000) that was held in Madrid, Spain, July 3–7, 2000, seven of them given in a series of two invited sessions organized by the guest editors of this special issue. These nine original contributions have been thoroughly revised and expanded to become the papers currently presented in this issue. The two remaining contributions have been written by recognized people in the field who were invited by the guest editors. First, we briefly introduce genetic fuzzy systems as a research area that combines genetic algorithms and fuzzy systems, focusing on the current state of the art in this field. Afterwards, we give an overview on the contents of the papers in the issue.
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