ABSTRACT

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 t

part I|2 pages

Basic aspects of fuzzy set theory

part II|2 pages

Supervised fuzzy learning classifiers

part III|2 pages

One-level fuzzy partitional prototype-based clustering

chapter 10|18 pages

Other one-level clustering methods

chapter 11|26 pages

Linear cluster detection

chapter 13|44 pages

Advanced adaptive algorithms

chapter 14|38 pages

Cluster validity

chapter 15|42 pages

Advanced cluster validity functionals

chapter 16|16 pages

Convergence of fuzzy clustering algorithms

part IV|2 pages

Fuzzy discriminant analysis and hierarchical fuzzy clustering

chapter 18|44 pages

Fuzzy hierarchical clustering

chapter 19|14 pages

Fuzzy simultaneous clustering