Fuzzy Sets in Approximate Reasoning and Information Systems:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Springer US
1999
|
Schriftenreihe: | The Handbooks of Fuzzy Sets Series
5 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Approximate 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 |
Beschreibung: | 1 Online-Ressource (XV, 514 p) |
ISBN: | 9781461552437 9781461373902 |
ISSN: | 1388-4352 |
DOI: | 10.1007/978-1-4615-5243-7 |
Internformat
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discipline | Mathematik |
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format | Electronic eBook |
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issn | 1388-4352 |
language | English |
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spelling | Bezdek, James C. Verfasser aut Fuzzy Sets in Approximate Reasoning and Information Systems edited by James C. Bezdek, Didier Dubois, Henri Prade Boston, MA Springer US 1999 1 Online-Ressource (XV, 514 p) txt rdacontent c rdamedia cr rdacarrier The Handbooks of Fuzzy Sets Series 5 1388-4352 Approximate 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 Mathematics Data structures (Computer science) Artificial intelligence Information Systems Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Management of Computing and Information Systems Data Structures, Cryptology and Information Theory Künstliche Intelligenz Mathematik Expertensystem (DE-588)4113491-6 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 s Expertensystem (DE-588)4113491-6 s 1\p DE-604 Dubois, Didier Sonstige oth Prade, Henri Sonstige oth https://doi.org/10.1007/978-1-4615-5243-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Bezdek, James C. Fuzzy Sets in Approximate Reasoning and Information Systems Mathematics Data structures (Computer science) Artificial intelligence Information Systems Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Management of Computing and Information Systems Data Structures, Cryptology and Information Theory Künstliche Intelligenz Mathematik Expertensystem (DE-588)4113491-6 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
subject_GND | (DE-588)4113491-6 (DE-588)4061868-7 |
title | Fuzzy Sets in Approximate Reasoning and Information Systems |
title_auth | Fuzzy Sets in Approximate Reasoning and Information Systems |
title_exact_search | Fuzzy Sets in Approximate Reasoning and Information Systems |
title_full | Fuzzy Sets in Approximate Reasoning and Information Systems edited by James C. Bezdek, Didier Dubois, Henri Prade |
title_fullStr | Fuzzy Sets in Approximate Reasoning and Information Systems edited by James C. Bezdek, Didier Dubois, Henri Prade |
title_full_unstemmed | Fuzzy Sets in Approximate Reasoning and Information Systems edited by James C. Bezdek, Didier Dubois, Henri Prade |
title_short | Fuzzy Sets in Approximate Reasoning and Information Systems |
title_sort | fuzzy sets in approximate reasoning and information systems |
topic | Mathematics Data structures (Computer science) Artificial intelligence Information Systems Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Management of Computing and Information Systems Data Structures, Cryptology and Information Theory Künstliche Intelligenz Mathematik Expertensystem (DE-588)4113491-6 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
topic_facet | Mathematics Data structures (Computer science) Artificial intelligence Information Systems Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Management of Computing and Information Systems Data Structures, Cryptology and Information Theory Künstliche Intelligenz Mathematik Expertensystem Fuzzy-Menge |
url | https://doi.org/10.1007/978-1-4615-5243-7 |
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