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About this product
- DescriptionApproximate reasoning is a key motivation in fuzzy sets and possibility theory. This volume provides a coherent view of this field, and its impact on database research and information retrieval. First, the semantic foundations of approximate reasoning are presented. Special emphasis is given to the representation of fuzzy rules and specialized types of approximate reasoning. Then syntactic aspects of approximate reasoning are surveyed and the algebraic underpinnings of fuzzy consequence relations are presented and explained. The second part of the book is devoted to inductive and neuro-fuzzy methods for learning fuzzy rules. It also contains new material on the application of possibility theory to data fusion. The last part of the book surveys the growing literature on fuzzy information systems. Each chapter contains extensive bibliographical material. Fuzzy Sets in Approximate Reasoning and Information Systems is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.
- PublisherSpringer-Verlag New York Inc.
- Date of Publication21/11/2012
- SubjectComputing: Professional & Programming
- Series TitleThe Handbooks of Fuzzy Sets
- Series Part/Volume Number5
- Place of PublicationNew York, NY
- Country of PublicationUnited States
- ImprintSpringer-Verlag New York Inc.
- Content Notebiography
- Weight813 g
- Width155 mm
- Height235 mm
- Spine28 mm
- Edited byDidier Dubois,Henri Prade,James C. Bezdek
- Edition StatementSoftcover reprint of the original 1st ed. 1999
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