The fuzzy systems handbook

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 :

First: 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.
Second: 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

Summary of contents

• Fuzziness and certainty
• fuzzy sets
• fuzzy set operators
• fuzzy set hedges
• fuzzy reasoning
• fuzzy models
• fussy systems - case studies
• building fuzzy systems
• using the fuzzy code libraries
• building and using fuzzy cognitive map models
• building ME-OWA models