The Fuzzy Systems Handbook, Second Edition: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems

Earl Cox; Michael O'Hagan

ISBN 10: 0121944557 / ISBN 13: 9780121944551

Edité par AP Professional, Chestnut Hill, MA, 1999

A propos de cet article

2nd edition. Text clean and unmarked. Binding tight. Covers have light wear. Edges of pages have light wear. CD-Rom included in unopened plastic pocket. N° de réf. du vendeur 5050866

Détails bibliographiques

Titre : The Fuzzy Systems Handbook, Second Edition: ...

Éditeur : AP Professional, Chestnut Hill, MA

Date d'édition : 1999

Reliure : Soft cover

Etat : Very Good

Edition : 2nd Edition

A propos de ce titre

Synopsis :

Featuring a totorial style and requiring no background in fuzzy logic, this is a comprehensive introduction to fuzzy systems. It leads the reader through the process of designing, constructing, implementing, verifying and maintaining a platform-independent fuzzy system model. This edition has been extensively revised to bring the subject up to date, and features two additional chapters, "Building and using Fuzzy Cognitive map Models", and "Building ME-OWA Models". The multiplatform CD-ROM contains all the C++ source code from the book's examples, and a package of fuzzy systems-related tools and utilities, featuring two notable components. The first is Metus Systems' basic fuzzy modelling software, which includes complete C/C++ source code for creating and executing fuzzy models, a Visual Basic shell that can be used to create fuzzy sets and generate the C/C++ include files, and code for models for pricing, project management, risk assessment and more. The second is a CD-ROM providing the ME-OWA (Minimum-Entropy, Ordered Weighted Aggregation) decision modelling software from Fuzzy Logic Inc. This software is used to focus on a single objective function from a set of alternatives given a fuzzy ranking among various alternatives. It is not only an important technique as a stand-alone tool, but is an important methodology in parameter selection (and parameterization ordering) for generic algorithms and various data miming techniques. It is also used to establish rule and policy level peer weights in fuzzy models. The book adopts a straighforward exposition, with emphasis on practical use.