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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finite

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

MEAN

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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insightful

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

Blemish

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.

conspicuous

輕浮思想

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.

變白

積習(xí)難改

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’.