Fuzzy Sets in Approximate Reasoning and Information Systems

Erscheinungsjahr 2012
ISBN: 978-1-4613-7390-2
Verlag: Springer

Buch, Englisch, Band 5, 514 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 803 g

Reihe: The Handbooks of Fuzzy Sets

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.
is a major source of information for research scholars and graduate students in computer science and artificial intelligence, interested in human information processing.

Zielgruppe

Research

Autoren/Hrsg.

Bezdek, J. C.

Dubois, Didier

Prade, Henri

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik Mathematik Mathematik Allgemein Grundlagen der Mathematik
• Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1 Fuzzy Sets and Possibility Theory in Approximate and Plausible Reasoning.- 2 Weighted Inference Systems.- 3 Closure Operators in Fuzzy set Theory.- 4 Learning Fuzzy Decision Rules.- 5 Neuro-Fuzzy Methods in Fuzzy Rule Generation.- 6 Merging Fuzzy Information.- 7 Fuzzy Databases.- 8 Fuzzy Set Techniques in Information Retrieval.