Fuzzy logic applications allow uncertain or imprecise data to be clustered and analyzed when traditional methods cannot be used. Very large and complex intelligence databases - such as those used in system design, banking and finance, medical diagnosis, and defense - are all candidates for real-world application of this technology. In this volume, an international team of authors provides a thorough introduction to fuzzy set theory then progresses through the algorithms and techniques used to manipulate data using fuzzy sets, including classification, hierarchy, and cluster structure.

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Beatrice Lazzerini, Lakhmi C. Jain, D. Dumitrescu

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Articles li�s � Fuzzy Sets and Their Application to Clustering and...

Fuzzy Sets and Their Application to Clustering and Training

Lazzerini, Beatrice (Author)/ Jain, Lakhmi C. (Author)/ Dumitrescu, D. (Author)

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