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

by Earl Cox

This new edition provides a comprehensive introduction to fuzzy logic, and leads the reader through the complete process of designing, constructing, implementing, verifying and maintaining a platform-independent fuzzy system model. The book has been extensively revised to bring the subject up-to-date, and features two new "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 - but its real value is the robust package of fuzzy system related tools and utilities, featuring two notable components. Metus Systems' basic fuzzy modeling 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 ME-OWA (Minimum-Entropy, Ordered Weighted Aggregation) decision modeling 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 genetic algorithms and various data mining techniques. It is also an important technique used to establish rule and policy level peer weights in fuzzy models.

Key Features
* Tutorial style, requiring no background in fuzzy logic
* Case studies illustrate real-world fuzzy applications
* Mathematically straightforward exposition, with emphasis on practical use
* CD-ROM features all the C++ source code from the book and a robust package of fuzzy system related tools and utilities

716 pages, Paperback

First published January 15, 1999

Reviews

[Ira Burton · Rating 3 out of 5]

How do you teach a computer to handle concepts that are hard to describe? For example, in the summer 60 degrees is chilly and in the winter 60 degrees is warm. Computers are well equipped for tasks involving the recording and storing of data, however asking them to interpret data is another thing.

For example, wouldn't it be nice to be able to tell your home thermostat to keep the temperature "just right", and have it be able to interpret all the requisite variable to know what that means?

This book provides some solid technical background into the mathematics and concepts required to design and implement these sorts of systems.

[hamid shahrouzi · Rating 5 out of 5]

it is great