Fuzzy Sets & their Application to Clustering & Training (International Series on Computational Intelligence)

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.