The concept of fuzzy sets is one of the most fundamental and influential tools in computational
intelligence. Fuzzy sets can provide solutions to a broad range of problems of control, …

In this note we look at a certain theoretically sound motivation behind the common use of
triangular (and trapezoidal) membership functions. The studies are completed within a …

Presented here is a problem of fuzzy clustering with partial supervision, ie, unsupervised
learning completed in the presence of some labeled patterns. The classification information is …

Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These
type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially "fuzzy fuzzy…

We present a fuzzy method for choosing among a number of alternatives under conflicting
decision criteria: a fuzzy version of Saaty's pairwise comparison method (1980) extended by …

A self-contained treatment of fuzzy systems engineering, offering conceptual fundamentals,
design methodologies, development guidelines, and carefully selected illustrative material …

Fuzzy cognitive maps (FCMs) are a very convenient, simple, and powerful tool for simulation
and analysis of dynamic systems. They were originally developed in 1980 by Kosko, and …

… Pedrycz was elected a foreign … Witold Pedrycz has been a member of numerous program
committees for IEEE conferences in the area of fuzzy sets and neurocomputing. Dr. Pedrycz is …

This chapter attempts a concise introduction to data mining and knowledge discovery. First,
we introduce the necessary nomenclature and definitions, discuss the background of the …

The second edition of Pedrycz's book has a substantially revised introduction and new
chapters on knowledge representation, fuzzy neural networks, and neural network–aided fuzzy …