Fuzzy Sets & their Application to Clustering & Training (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United States
Series:	International Series on Computational Intelligence
Release date:	March 2000
First published:	2000
Authors:	Beatrice Lazzerini • Lakhmi C. Jain • D. Dumitrescu
Dimensions:	234 x 156 x 39mm (L x W x T)
Format:	Hardcover
Pages:	664
ISBN-13:	978-0-8493-0589-4
Categories:	Books > Science & Mathematics > Mathematics > Mathematical foundations > Set theory Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	0-8493-0589-6
Barcode:	9780849305894

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