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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapter 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 applicatins 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 aims to serve as a 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 should find this a valuable sourcebook, as well as engineers, in particular control engineers. Finally, the book should be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapter 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 applicatins 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 aims to serve as a 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 should find this a valuable sourcebook, as well as engineers, in particular control engineers. Finally, the book should be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics.