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Titlebook: An Introduction to Fuzzy Logic Applications in Intelligent Systems; Ronald R. Yager,Lotfi A. Zadeh Book 1992 Springer Science+Business Med

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发表于 2025-3-21 17:37:18 | 显示全部楼层 |阅读模式
期刊全称An Introduction to Fuzzy Logic Applications in Intelligent Systems
影响因子2023Ronald R. Yager,Lotfi A. Zadeh
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学科分类The Springer International Series in Engineering and Computer Science
图书封面Titlebook: An Introduction to Fuzzy Logic Applications in Intelligent Systems;  Ronald R. Yager,Lotfi A. Zadeh Book 1992 Springer Science+Business Med
影响因子.An Introduction to Fuzzy Logic Applications in IntelligentSystems. consists of a collection of chapters written by leadingexperts in the field of fuzzy sets. Each chapter addresses an areawhere fuzzy sets have been applied to situations broadly related tointelligent systems. .The volume provides an introduction to and an overview of recentapplications of fuzzy sets to various areas of intelligent systems.Its purpose is to provide information and easy access for people newto the field. The book also serves as an excellent reference forresearchers in the field and those working in the specifics of systemsdevelopment. People in computer science, especially those inartificial intelligence, knowledge-based systems, and intelligentsystems will find this to be a valuable sourcebook. Engineers,particularly control engineers, will also have a strong interest inthis book. .Finally, the book will be of interest to researchers working indecision support systems, operations research, decision theory,management science and applied mathematics. .An Introduction toFuzzy. .Logic Applications in Intelligent Systems. may also beused as an introductory text and, as such, it is tutorial in nature..
Pindex Book 1992
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发表于 2025-3-21 20:14:47 | 显示全部楼层
Fuzzy Logic Knowledge Systems and Artificial Neural Networks in Medicine and Biology,erations, acting on the characterizations of proteins, in order to decrease their relative influence. As a consequence, when pattern matching is achieved, the final ranking of inflammatory syndromes assigned to a given patient might change to better fit the actual classification. Defuzzification of
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https://doi.org/10.1007/978-3-663-04665-3erations, acting on the characterizations of proteins, in order to decrease their relative influence. As a consequence, when pattern matching is achieved, the final ranking of inflammatory syndromes assigned to a given patient might change to better fit the actual classification. Defuzzification of
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0893-3405 atics. .An Introduction toFuzzy. .Logic Applications in Intelligent Systems. may also beused as an introductory text and, as such, it is tutorial in nature..978-1-4613-6619-5978-1-4615-3640-6Series ISSN 0893-3405
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https://doi.org/10.1007/978-3-663-04665-3asoning heavily involves metaknowledge to focuss attention on the most plausible hypotheses or goals in a given situation and to control the inference process. Furthermore, uncertainty also plays an important role at the control level, for example, decisions are taken depending on the uncertainty of the facts supporting them.
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Die Technologie des Maschinentechnikersntroduced. The combination operations which appear for taking advantage of the available knowledge are all derived from the intended semantics of the rules. The processing of these four types of rules is studied in detail. Fuzzy rules modelling preference in decision processes are also discussed.
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https://doi.org/10.1007/978-3-642-92301-2ility (in relation to (3)). It seems, however, that there are few carefully thought-out investigations by paying attention to all problems mentioned above. In this paper we would like to give our opinion about these problems and to introduce a new concept called ‘probabilistic sets’.
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