Lecture 49 - Fuzzy Rules and Fuzzy Reasoning By Prof. Nishchal K. Verma

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Summary
Fuzzy rules consist of an "if" part (antecedent) and a "then" part (consequence), forming the basis of fuzzy systems. The lecture explains fuzzy relations derived from fuzzy sets, interpretations of fuzzy rules, and various T-norm operators. Examples illustrate how to compute fuzzy relation matrices using different implications.
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