“School of Cognitive Sciences”
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| Paper IPM / Cognitive Sciences / 7537 |
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| Abstract: | |
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This article presents an alternative for traditional inference mechanisms and most typically, the compositional rule of inference (CRI) method. The most important benefit of the new method is its higher robustness with respect to changes in the rule base and its ability to function when the lather is sparse. The proposed method is based on a fuzzy generalization of the ordinary least-square interpolation method. The authors consider the degradation caused by elimination of a rule in a fuzzy controller and show that CRL is more sensitive than their interpolation-based method.
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