Fuzzy Systems

While several books are available today that address the mathematical and philosophical foundations of fuzzy logic, none, unfortunately, provides the practicing knowledge engineer, system analyst, and project manager with specific, practical information about fuzzy system modeling. Those few books that include applications and case studies concentrate almost exclusively on engineering problems: pe...

While several books are available today that address the mathematical and philosophical foundations of fuzzy logic, none, unfortunately, provides the practicing knowledge engineer, system analyst, and project manager with specific, practical information about fuzzy system modeling. Those few books that include applications and case studies concentrate almost exclusively on engineering problems: pendulum balancing, truck backeruppers, cement kilns, antilock braking systems, image pattern recognition, and digital signal processing. Yet the application of fuzzy logic to engineering problems represents only a fraction of its real potential. As a method of encoding and using human knowledge in a form that is very close to the way experts think about difficult, complex problems, fuzzy systems provide the facilities necessary to break through the computational bottlenecks associated with traditional decision support and expert systems. Additionally, fuzzy systems provide a rich and robust method of building systems that include multiple conflicting, cooperating, and collaborating experts (a capability that generally eludes not only symbolic expert system users but analysts who have turned to such related technologies as neural networks and genetic algorithms). Yet the application of fuzzy logic in the areas of decision support, medical systems, database analysis and mining has been largely ignored by both the commercial vendors of decision support products and the knowledge engineers who use them.

Order Print Copy Recommend to Your Library

Your name

Your email address

Your Library’s email address

Department

Institution/Company

Loading...

Country

Loading...

Message of recommendation Dear Librarian, I would like to recommend the following IntechOpen book to be added to our library catalog: TITLE: 'Fuzzy Systems' PRINT ISBN: 978-953-7619-92-3 Libraries are offered a 20% discount on retail book prices. For a quote, please contact the IntechOpen Print Sales Department directly at orders@intechopen.com Best regards.

I recommend this publication for the following reasons

Loading...

By submitting the form you agree to IntechOpen using your personal information in order to fulfil your library recommendation. In line with our privacy policy we won’t share your details with any third parties and will discard any personal information provided immediately after the recommended institution details are received. For further information on how we protect and process your personal information, please refer to our privacy policy.

Submit