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|9 978-3-540-71258-9
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|a 10.1007/978-3-540-71258-9
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|a Fuzzy Logic
|h [electronic resource] :
|b A Spectrum of Theoretical & Practical Issues /
|c edited by Paul P. Wang, Da Ruan, Etienne E. Kerre.
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|a 1st ed. 2007.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2007.
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|a XVI, 459 p.
|b online resource.
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|a text
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|a Studies in Fuzziness and Soft Computing,
|x 1860-0808 ;
|v 215
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|a Why Fuzzy Logic? - A Spectrum of Theoretical and Pragmatics Issues -- On Fuzzy Set Theories -- Uninorm Basics -- Structural Interpolation and Approximation with Fuzzy Relations: A Study in Knowledge Reuse -- On Fuzzy Logic and Chaos Theory -- Upper and Lower Values for the Level of Fuzziness in FCM -- Mathematical Modeling of Natural Phenomena: A Fuzzy Logic Approach -- Mathematical Fuzzy Logic in Modeling of Natural Language Semantics -- Analytical Theory of Fuzzy IF-THEN Rules with Compositional Rule of Inference -- Fuzzy Logic and Ontology-based Information Retrieval -- Real-World Fuzzy Logic Applications in Data Mining and Information Retrieval -- Gene Regulatory Network Modeling: A Data Driven Approach -- An Abstract Approach Toward the Evaluation of Fuzzy Rule Systems -- Nuclear Reactor Power Control Using State Feedback with Fuzzy Logic -- The Fusion of Genetic Algorithms and Fuzzy Classification for Transient Identification -- The Role of Fuzziness in Decision Making -- Fuzzy Linear Bilevel Optimization: Solution Concepts, Approaches and Applications -- Fuzzy Predictive Earth Analysis Constrained by Heuristics Applied to Stratigraphic Modeling -- Fuzzy Logic for Modeling the Management of Technology.
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|a This book exclusively surveys the active on-going research of the current maturity of fuzzy logic over the last four decades. Many world leaders of fuzzy logic have enthusiastically contributed their best research results into five theoretical, philosophical and fundamental sub areas and nine distinctive applications, including two PhD dissertations from two world class universities dealing with cutting-edge research areas of bioinformatics and geological science. Beyond the scope of survey and collection of the book, one important spin off is the emerging and recognition of a major scientific paradigm shift from the conventional mathematics to the mathematics of uncertainty, which arguably holds the key to solving very difficult and complex problems in biological and social sciences alike. The book, loaded with historical perspective, creative thinking, critical reviewing, and uniquely constructed strategy for future growth of this dynamic research area, is an invaluable resource for active researchers at all levels, university administrators, foundation directors, funding agency program chiefs, research & development planners and technological assessors.
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|a Engineering mathematics.
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|a Engineering-Data processing.
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|a Artificial intelligence.
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|a Computational linguistics.
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|a Mathematical and Computational Engineering Applications.
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|a Artificial Intelligence.
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|a Computational Linguistics.
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|a Wang, Paul P.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Ruan, Da.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Kerre, Etienne E.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783540836117
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776 |
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|z 9783642090332
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|i Printed edition:
|z 9783540712572
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|a Studies in Fuzziness and Soft Computing,
|x 1860-0808 ;
|v 215
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|u https://doi.uam.elogim.com/10.1007/978-3-540-71258-9
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|a Engineering (SpringerNature-11647)
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