Fuzzy logic in case-based reasoning

This paper presents a fuzzy logic approach to address the indexing problems in case-based reasoning paradigm. The relevance of representing case indices using fuzzy sets and a scheme for rating and ranking of candidate cases using fuzzy aggregation operators are discussed. The authors also suggest employing case-based reasoning for learning in fuzzy systems. The proposed schemes are exemplified in the content of a hybrid reasoning system for reactive navigation of autonomous underwater vehicles.<
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