Fuzzy set theory

La mayoria de los textos en el campo de la probabilidad son muy academicos, al incluir demostraciones matematicas que generalmente no son tan utiles.

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

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

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.

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

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

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.

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.

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.

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

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.

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

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.

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;.

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.

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

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

The number of fuzzy logic applications is very large.

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

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

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

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

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.

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.

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.

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

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.

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.