The rough and fuzzy set approaches presented here open up many new frontiers for
continued research and development Computational Intelligence and Feature Selection …

Feature selection (FS) refers to the problem of selecting those input attributes that are most
predictive of a given outcome; a problem encountered in many areas such as machine …

This paper investigates the possibility of increasing the interpretability of fuzzy rules and
reducing the complexity when designing fuzzy rules. To achieve this, three novel fuzzy logic …

The hedge-algebras (HA) theory has been effectively applied in different fields such as fuzzy
database, logic programming, classification and regression, data mining, linguistic database …

This book introduces the novel concept of a fuzzy network. In particular, it describes further
developments of some results from its predecessor book on Complexity Management in …

Doing research is a great adventure As any adventure sometimes it is hard You may feel
alone and with no idea where to go But if you have courage and press onwards You will …

Logic rules and membership functions are two key components of a fuzzy logic controller
(FLC). If only one component is learned, the other one is often set subjectively thus can …

Fundamental to case-based reasoning is the assumption that similar problems have similar
solutions. The meaning of the concept of “similarity” can vary in different situations and …

A rule base reduction and tuning algorithm is proposed as a design tool for the knowledge-
based fuzzy control of a vacuum cleaner. Given a set of expert-based control rules in a fuzzy …

Fuzzy inference systems (FIS) gained popularity and found application in several fields of
science over the last years, because they are more transparent and interpretable than other …