This exceptional guide and reference is devised for practitioners who want to employ fuzzy logic concepts in the design and deployment of actual fuzzy systems. FUZZY SYSTEMS DESIGN PRINCIPLES concentrates on the IF-THEN fuzzy algorithm, one of the most popular algorithms implemented today. The "basic fuzzy inference algorithm," the IF-THEN structure is not only applicable to many types of problems, but is also comprised of building blocks used in the development of other types of fuzzy systems used in today's electronic and software products. Sponsored by: IEEE Neural Networks Council.
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Höhe: 231 mm
Breite: 159 mm
Dicke: 33 mm
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978-0-7803-1151-0 (9780780311510)
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Dr. Riza C. Berkan is the president of Monitoring Diagnostics and Control (MODiCO), Inc., and is a part-time faculty member at the University of Tennessee where he teaches a graduate-level fuzzy logic course offered by the Department of Engineering Science and Mechanics. Dr. Berkan is the author of several articles on fuzzy logic and its applications to the operations of large-scale, complex systems. Dr. Sheldon L. Trubatch is currently a partner at the law firm of Winston & Strawn, where he specializes in nuclear and administrative law. He is also developing applications of fuzzy logic to support legal and regulatory decision making. Previously, Dr. Trubatch was a physics professor at California State University, Long Beach. Among his research areas was the application of mathematical techniques to the description of biological systems. Dr. Trubatch has a J.D. from Columbia University School of Law and a Ph.D. in physics from Brandeis University.
Foreword. Preface. Introduction. Theory. The Basic Fuzzy Inference Algorithm. Conceptual Design. Fuzzy Variable Design. Membership Function Shape Analysis. Composing Fuzzy Rules. Implication Design. Appendix: The Basic Fuzzy Inference Algorithm. Index.
