Fuzzy Systems Engineering : Theory and Practice /
Contributor(s): Nedjah, Nadia [editor.] | Mourelle, Luiza de Macedo [editor.] | SpringerLink (Online service).
Material type: BookSeries: Studies in Fuzziness and Soft Computing: 181Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: XIII, 230 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540323976.Subject(s): Engineering | Artificial intelligence | System theory | Applied mathematics | Engineering mathematics | Control engineering | Robotics | Mechatronics | Industrial engineering | Production engineering | Engineering economics | Engineering economy | Engineering | Appl.Mathematics/Computational Methods of Engineering | Industrial and Production Engineering | Artificial Intelligence (incl. Robotics) | Systems Theory, Control | Control, Robotics, Mechatronics | Engineering Economics, Organization, Logistics, MarketingDDC classification: 519 Online resources: Click here to access online In: Springer eBooksSummary: This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books | PK Kelkar Library, IIT Kanpur | Available | EBK7665 |
Total holds: 0
This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.
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