Recent advances in genetic fuzzy systems

This special issue encompasses 11 papers devoted to the recent developments in the field of "genetic fuzzy systems". The issue originated from present ations by nine of the authors at the Eighth International Conference on Inf ormation Processing and Management of Uncertainty in Knowledge-Based System s (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 o f this special issue. These nine original contributions have been thoroughl y revised and expanded to become the papers currently presented in this iss ue. 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 c ombines 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. (C) 2001 Elsevier Science Inc. All rights reser ved.