Fuzzy Information Engineering

An in-depth exploration of fuzzy logic methods and practice in information engineering

Fuzzy Information Engineering is the first book devoted exclusively to applications of fuzzy logic in information sciences at large. Written by an international team of experts, it takes you on a guided tour through the most important fuzzy set theory applications of the past several years. Each chapter covers a different application of fuzzy logic, and addresses set theory, methodology, and implementation. Here is your opportunity to explore and learn from cutting-edge applications in:

• Fault diagnosis
• Medical image processing
• Internet information retrieval
• Chemical process engineering
• Data fusion
• Learning from data
• Freehand drawing
• Decision support in investment problems
• Music analysis
• Scheduling in production management
• Satellite image classification
• Query processing in databases
• Virtual reality
• And more

The first, in-depth introduction to one of the most important new applications of fuzzy logic, Fuzzy Information Engineering is an indispensable resource for intelligent systems researchers and developers.

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DIDIER DUBOIS and HENRI PRADE are CNRS research scientists at IRIT Institute of Paul Sabatier University, in Toulouse, France.

RONALD R. YAGER is Director of the Machine Intelligence Institute at Iona College, in New Rochelle, New York.