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Fuzzy Sets and Their Application to Clustering and Training (International Series on Computational Intelligence)
 
 
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Fuzzy Sets and Their Application to Clustering and Training (International Series on Computational Intelligence) (Hardcover)

by Beatrice Lazzerini (Author), D. Dumitrescu (Author), Lakhmi C. Jain (Author) "Fuzzy sets represent a suitable mathematical tool for the modeling of imprecision and vagueness ..." (more)
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Product Description

Product Description
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.


From the Back Cover
Fuzzy set theory - and its underlying fuzzy logic - represents one of the most significant scientific and cultural paradigms to emerge in the last half-century. Its theoretical and technological promise is vast, and we are only beginning to experience its potential. Clustering is the first and most basic application of fuzzy set theory, but forms the basis of many, more sophisticated, intelligent computational models, particularly in pattern recognition, data mining, adaptive and hierarchical clustering, and classifier design.

Fuzzy Sets and their Application to Clustering and Training offers a comprehensive introduction to fuzzy set theory, focusing on the concepts and results needed for training and clustering applications. It provides a unified mathematical framework for fuzzy classification and clustering, a methodology for developing training and classification methods, and a general method for obtaining a variety of fuzzy clustering algorithms.
The authors - top experts from around the world - combine their talents to lay a solid foundation for applications of this powerful tool, from the basic concepts and mathematics through the study of various algorithms, to validity functionals and hierarchical clustering. The result is Fuzzy Sets and their Application to Clustering and Training - an outstanding initiation into the world of fuzzy learning classifiers and fuzzy clustering.
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Fuzzy sets represent a suitable mathematical tool for the modeling of imprecision and vagueness. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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