Abstract
This paper focuses on fuzzy control of a class of adaptive information systems (AIS), which are characterized by model uncertainty and inequality model constraints. Classification of a priori knowledge and identification of new data are central in the fuzzy control process. Knowledge representation scheme has direct impact on the development, efficiency, speed and maintenance of any knowledge based system. The paper considers cluster analysis for such a system, based on Bezdek’s fuzzy cluster method (FCM). The proposed method is used to classify the input data and to receive the rules for AIS. The obtained rules can than be used for the design of rule-based intelligent system.
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