An Introduction To Fuzzy Logic Applications In Intelligent Systems (the Springer International Series In Engineering And Computer Science)

__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. 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. Front Matter....Pages i-vii Knowledge Representation in Fuzzy Logic....Pages 1-25 Expert Systems Using Fuzzy Logic....Pages 27-44 Fuzzy rules in knowledge-based systems....Pages 45-68 Fuzzy Logic Controllers....Pages 69-96 Methods and Applications of Fuzzy Mathematical Programming....Pages 97-120 Fuzzy Set Methods in Computer Vision....Pages 121-145 Fuzziness, Image Information and Scene Analysis....Pages 147-183 Fuzzy Sets in Natural Language Processing....Pages 185-200 Fuzzy-Set-Theoretic Applications in Modeling of Man-Machine Interactions....Pages 201-220 Questionnaires and Fuzziness....Pages 221-233 Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and Biology....Pages 235-251 The Representation and Use of Uncertainty and Metaknowledge in Milord....Pages 253-262 Fuzzy Logic with Linguistic Quantifiers in Group Decision Making....Pages 263-280 Learning in Uncertain Environments....Pages 281-296 Evidential Reasoning Under Probabilistic and Fuzzy Uncertainties....Pages 297-333 Probabilistic Sets Probabilistic Extension of Fuzzy Sets....Pages 335-354 Back Matter....Pages 355-356