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While fuzzy systems can advantageously be used in system modeling and control, their use in time-critical applications is limited because of complexity problems, especially in cases when not only low, but also flexibly changeable complexity is needed. Previously, a method has been proposed to use fuzzy and other soft-computational tools in the frame of modular anytime architectures; however, the applicability needs the a priori knowledge of the temporarily available time and resources. This paper proposes a new transformation method, which makes possible the iterative-type evaluation of product-sum-gravity-singleton (PSGS) fuzzy systems, with a really flexibly changeable complexity, and with an easily estimable error at any step of the evaluation. Moreover, the transformation also ensures the fastest possible decrease of the error.
Instrumentation and Measurement, IEEE Transactions on (Volume:54 , Issue: 1 )
Date of Publication: Feb. 2005