This paper is concerned with a reinforced rule-based fuzzy model and its design realized
with the aid of fuzzy clustering. The objective of this study is to develop a new design …

A fuzzy expert system must do rule chaining differently than a nonfuzzy expert system. In
particular, any rule that can fire with a particular linguistic variable in its consequent must fire …

In today's industrial systems, economic markets, life and health-care sciences fuzzy systems
play an important role in many application scenarios such as system identification, fault …

Purpose–The purpose of this paper is to propose a general method to simplify the structure
of fuzzy controllers' rule base using integrated methodology for reducing the number of fuzzy …

We discuss the process of fuzzy systems model building and describe the role played by the
partitioning of the input space. We also introduce and investigate the idea of using fuzzy …

This paper presents a genetic algorithm (GA) that automatically constructs the knowledge
base used by fuzzy decision support systems (FDSS). The GA produces an optimal …

Great progresses have been made in the application of fuzzy set theory and fuzzy logic.
Most remarkable area of application is' fuzzy control', where fuzzy logic was first applied to …

This paper presents a comprehensive expert system shell which can deal with both exact
and inexact reasoning. A prototype of this proposed shell, code named as SYSTEM Z-IIe …

This chapter presents an overview of system modeling with fuzzy sets. The concept of a
fuzzy system is first explained. Afterwards, the motivation and practical relevance of fuzzy …

The aim of this contribution is to point out the importance of interpretability of fuzzy rule-
based systems. We try to approach this key property axiomatically, as a starting point …