Fuzzy set theory

Motor monitoring, incipient fault detection, and diagnosis are important and difficult topics in the engineering field.

Soft computing is the common name for a certain form of natural information processing that has its original form in biology, especially in the function of human brain.

Soft computing is a new, emerging discipline rooted in a group of technologies that aim to exploit the tolerance for imprecision and uncertainty in achieving solutions to complex problems.

This book treats visual feedback control of mechanical systems, mostly robot manipulators.

An introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the sciences.

This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques.

Enriching database models so as to allow the user to deal with fuzzy and uncertain information has been of scientists' concern for years.

The primary aim of the book is to provide a systematic development of the theory of metric spaces of normal, upper semicontinuous fuzzy convex fuzzy sets with compact support sets, mainly on the base space n.

This is an interdisciplinary book for knowledge workers in business, finance, management, and socio-economic sciences.

This text is intended as an introduction to mathematical proofs for students.

This book reports the recent results obtained by Italian researchers in fuzzy logic.

The 1980s saw a whole wave of practical applications of fuzzy theory, mainly in the field of process control, with Japan as pioneer.

This volume presents an interesting mix of topics on complex systems such as information systems, engineering systems, fuzzy neural systems, image processing, robotics, fuzzy control, genetic algorithms, and fuzzy decision making.

Fuzzy set theory provides us with a framework which is wider than that of classical set theory.

This volume contains proceedings of the 1998 European Summer Meeting of the Association for Symbolic Logic held at the University of Economics, Prague.

This fully updated and revised third edition, presents a wide ranging, balanced account of the fundamental issues across the full spectrum of inference and decision-making.

The number of fuzzy logic applications is very large.

An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems.

The developments of fuzzy systems and fuzzy logic is permeating through the diverse branches of science where uncertainty has to be considered laying on the foundations and applicative developments.

Fuzzy sets and fuzzy logic are powerful mathematical tools for modeling and controlling uncertain systems in industry, humanity, and nature; they are facilitators for approximate reasoning in decision making in the absence of complete and precise information.

This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh.

An introduction to category theory as a rigorous, flexible, and coherent modeling language that can be used across the sciences.

Fuzzy logic control has become an important methodology in control engineering.

This volume provides an up-to-date picture of the current status of theoretical and empirical developments in the application of fuzzy sets in psychology.

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems.

There are many uncertainties in the real world.

This book on hybrid intelligent engineering systems is unique, in the sense that it presents the integration of expert systems, neural networks, fuzzy systems, genetic algorithms, and chaos engineering.

This book focuses on approaches to computer-assisted medical decision-making.

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over.

This monograph includes expanded selected papers presented in the "e;Workshop on the Future Directions of Fuzzy Theory and Systems"e;.

The "e;Fuzzy Explosion"e; emanating from Japan has compelled more people than ever to ponder the meaning and potential of fuzzy engineering.

This volume includes most of the recent results obtained by Italian researchers in fuzzy logic.

Fuzzy Logic has gained increasing acceptance as a way to deal with complexity and uncertainty in many areas of science and engineering.

This book teaches you how to design a fuzzy controller and shares the author's experience of design and applications.

With increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty.

The authors guide readers quickly and concisely through the complex topics of neural networks, fuzzy logic, mathematical modelling of electrical machines, power systems control and VHDL design.

This volume covers the integration of fuzzy logic and expert systems.

An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems.