An Introduction to Fuzzy Logic Applications in Intelligent Systems

Lotfi A. Zadeh

ISBN 10: 1461366194 / ISBN 13: 9781461366195

Editore: Springer US, 2012

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Druck auf Anfrage Neuware - Printed after ordering - An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

Codice articolo 9781461366195

Dati bibliografici

• Titolo: An Introduction to Fuzzy Logic Applications in Intelligent Systems
• Editore: Springer US
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 1461366194
• ISBN 13: 9781461366195
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems.
The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book.
Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

Contenuti

Knowledge Representation in Fuzzy Logic; L.A. Zadeh. Expert Systems Using Fuzzy Logic; R.R. Yager. Fuzzy Rules in Knowledge-Based Systems; D. Dubois, H. Prade. Fuzzy Logic Controllers; H. Berenji. Methods and Applications of Fuzzy Mathematical Programming; H.J. Zimmermann. Fuzzy Set Methods in Computer Vision; J.M. Keller, R. Krishnapuram. Fuzziness, Image Information and Scene Analysis; S.K. Pal. Fuzzy Sets in Natural Language Processing; V. Novak. Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine Interactions; W. Karwowski, G. Salvendy. Questionnaires and Fuzziness; B. Bouchon-Meunier. Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and Biology; E. Sanchez. The Representation and Use of Uncertainty and Metaknowledge in Milord; R. Lopez de Montaras, C. Sierra, J. Augusti. Fuzzy Logic with Linguistic Quantifiers in Group Decision Making; J. Kacprzyk, M. Fedrizzi, H. Nurmi. Learning in Uncertain Environments; M. Botta, A. Giordana, L. Saitta. Evidential Reasoning Under Probabilistic and Fuzzy Uncertainties; J.F. Baldwin. Probabilistic Sets-Probabilistic Extension of Fuzzy Sets; K. Hirota. Index.