Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Searching... | 30000002572380 | QA248 I58 1992 | Open Access Book | Book | Searching... |
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Summary
Summary
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.
Table of Contents
Knowledge Representation in Fuzzy LogicL.A. Zadeh |
Expert Systems Using Fuzzy LogicR.R. Yager |
Fuzzy Rules in Knowledge-Based SystemsD. Dubois and H. Prade |
Fuzzy Logic ControllersH. Berenji |
Methods and Applications of Fuzzy Mathematical ProgrammingH.J. Zimmermann |
Fuzzy Set Methods in Computer VisionJ.M. Keller and R. Krishnapuram |
Fuzziness, Image Information and Scene AnalysisS.K. Pal |
Fuzzy Sets in Natural Language ProcessingV. Novak |
Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine InteractionsW. Karwowski and G. Salvendy |
Questionnaires and FuzzinessB. Bouchon-Meunier |
Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and BiologyE. Sanchez |
The Representation and Use of Uncertainty and Metaknowledge in MilordR. Lopez de Montaras and C. Sierra and J. Augusti |
Fuzzy Logic with Linguistic Quantifiers in Group Decision MakingJ. Kacprzyk and M. Fedrizzi and H. Nurmi |
Learning in Uncertain EnvironmentsM. Botta and A. Giordana and L. Saitta |
Evidential Reasoning Under Probabilistic and Fuzzy UncertaintiesJ.F. Baldwin |
Probabilistic Sets-Probabilistic Extension of Fuzzy SetsK. Hirota |
Index |