Fuzzy Sets & their Application to Clustering & Training

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.