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Fuzzy logic

We start by describing the nature of imperfect data, and giving an overview of the various models that have been proposed. Fuzzy sets theory is shown to be an extension of classical set theory, and as such has a proeminent role or modelling imperfect data. The mathematic of fuzzy sets theory is deta...

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Detalles Bibliográficos
Autor principal: Smets, P
Lenguaje:eng
Publicado: CERN 1995
Materias:
Acceso en línea:http://cds.cern.ch/record/278728
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author Smets, P
author_facet Smets, P
author_sort Smets, P
collection CERN
description We start by describing the nature of imperfect data, and giving an overview of the various models that have been proposed. Fuzzy sets theory is shown to be an extension of classical set theory, and as such has a proeminent role or modelling imperfect data. The mathematic of fuzzy sets theory is detailled, in particular the role of the triangular norms. The use of fuzzy sets theory in fuzzy logic and possibility theory,the nature of the generalized modus ponens and of the implication operator for approximate reasoning are analysed. The use of fuzzy logic is detailled for application oriented towards process control and database problems.
id cern-278728
institution Organización Europea para la Investigación Nuclear
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publishDate 1995
publisher CERN
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spelling cern-2787282022-11-03T08:19:36Zhttp://cds.cern.ch/record/278728engSmets, PFuzzy logicMathematical Physics and MathematicsWe start by describing the nature of imperfect data, and giving an overview of the various models that have been proposed. Fuzzy sets theory is shown to be an extension of classical set theory, and as such has a proeminent role or modelling imperfect data. The mathematic of fuzzy sets theory is detailled, in particular the role of the triangular norms. The use of fuzzy sets theory in fuzzy logic and possibility theory,the nature of the generalized modus ponens and of the implication operator for approximate reasoning are analysed. The use of fuzzy logic is detailled for application oriented towards process control and database problems.CERNoai:cds.cern.ch:2787281995
spellingShingle Mathematical Physics and Mathematics
Smets, P
Fuzzy logic
title Fuzzy logic
title_full Fuzzy logic
title_fullStr Fuzzy logic
title_full_unstemmed Fuzzy logic
title_short Fuzzy logic
title_sort fuzzy logic
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/278728
work_keys_str_mv AT smetsp fuzzylogic