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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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Lenguaje: | eng |
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CERN
1995
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Acceso en línea: | http://cds.cern.ch/record/278728 |
_version_ | 1780887764714127360 |
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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 |
language | eng |
publishDate | 1995 |
publisher | CERN |
record_format | invenio |
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 |