Fuzzy Sets Theory and Applications:
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Dordrecht
Springer Netherlands
1986
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Schriftenreihe: | NATO ASI Series, Series C: Mathematical and Physical Sciences
177 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Problems in decision making and in other areas such as pattern recognition, control, structural engineering etc. involve numerous aspects of uncertainty. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details. During the last two decades one has become more and more aware of the fact that not all this uncertainty is of stochastic (random) character and that, therefore, it can not be modelled appropriately by probability theory. This becomes the more obvious the more we want to represent formally human knowledge. As far as uncertain data are concerned, we have neither instruments nor reasoning at our disposal as well defined and unquestionable as those used in the probability theory. This almost infallible domain is the result of a tremendous work by the whole scientific world. But when measures are dubious, bad or no longer possible and when we really have to make use of the richness of human reasoning in its variety, then the theories dealing with the treatment of uncertainty, some quite new and other ones older, provide the required complement, and fill in the gap left in the field of knowledge representation. Nowadays, various theories are widely used: fuzzy sets, belief function, the convenient associations between probability and fuzziness etc ... We are more and more in need of a wide range of instruments and theories to build models that are more and more adapted to the most complex systems |
Beschreibung: | 1 Online-Ressource (XII, 403 p) |
ISBN: | 9789400946828 9789401085816 |
ISSN: | 1389-2185 |
DOI: | 10.1007/978-94-009-4682-8 |
Internformat
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490 | 1 | |a NATO ASI Series, Series C: Mathematical and Physical Sciences |v 177 |x 1389-2185 | |
500 | |a Problems in decision making and in other areas such as pattern recognition, control, structural engineering etc. involve numerous aspects of uncertainty. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details. During the last two decades one has become more and more aware of the fact that not all this uncertainty is of stochastic (random) character and that, therefore, it can not be modelled appropriately by probability theory. This becomes the more obvious the more we want to represent formally human knowledge. As far as uncertain data are concerned, we have neither instruments nor reasoning at our disposal as well defined and unquestionable as those used in the probability theory. This almost infallible domain is the result of a tremendous work by the whole scientific world. But when measures are dubious, bad or no longer possible and when we really have to make use of the richness of human reasoning in its variety, then the theories dealing with the treatment of uncertainty, some quite new and other ones older, provide the required complement, and fill in the gap left in the field of knowledge representation. Nowadays, various theories are widely used: fuzzy sets, belief function, the convenient associations between probability and fuzziness etc ... We are more and more in need of a wide range of instruments and theories to build models that are more and more adapted to the most complex systems | ||
650 | 4 | |a Mathematics | |
650 | 4 | |a Logic, Symbolic and mathematical | |
650 | 4 | |a Mathematical Logic and Foundations | |
650 | 4 | |a Mathematik | |
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700 | 1 | |a Kaufmann, Arnold |4 edt | |
700 | 1 | |a Zimmermann, Hans-Jürgen |4 edt | |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Jones, André Kaufmann, Arnold Zimmermann, Hans-Jürgen |
author2_role | edt edt edt |
author2_variant | a j aj a k ak h j z hjz |
author_facet | Jones, André Kaufmann, Arnold Zimmermann, Hans-Jürgen |
building | Verbundindex |
bvnumber | BV042415181 |
classification_tum | PHY 000 |
collection | ZDB-2-PHA ZDB-2-BAE |
ctrlnum | (OCoLC)863786068 (DE-599)BVBBV042415181 |
dewey-full | 511.3 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 511 - General principles of mathematics |
dewey-raw | 511.3 |
dewey-search | 511.3 |
dewey-sort | 3511.3 |
dewey-tens | 510 - Mathematics |
discipline | Physik Mathematik |
doi_str_mv | 10.1007/978-94-009-4682-8 |
format | Electronic eBook |
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genre_facet | Konferenzschrift 1985 Louvain-la-Neuve |
id | DE-604.BV042415181 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:20:57Z |
institution | BVB |
isbn | 9789400946828 9789401085816 |
issn | 1389-2185 |
language | English |
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physical | 1 Online-Ressource (XII, 403 p) |
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publishDate | 1986 |
publishDateSearch | 1986 |
publishDateSort | 1986 |
publisher | Springer Netherlands |
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series2 | NATO ASI Series, Series C: Mathematical and Physical Sciences |
spelling | Fuzzy Sets Theory and Applications edited by André Jones, Arnold Kaufmann, Hans-Jürgen Zimmermann Proceedings of the NATO Advanced Study Institute, Louvain-la-Neuve, Belgium, July 8-20, 1985 Dordrecht Springer Netherlands 1986 1 Online-Ressource (XII, 403 p) txt rdacontent c rdamedia cr rdacarrier NATO ASI Series, Series C: Mathematical and Physical Sciences 177 1389-2185 Problems in decision making and in other areas such as pattern recognition, control, structural engineering etc. involve numerous aspects of uncertainty. Additional vagueness is introduced as models become more complex but not necessarily more meaningful by the added details. During the last two decades one has become more and more aware of the fact that not all this uncertainty is of stochastic (random) character and that, therefore, it can not be modelled appropriately by probability theory. This becomes the more obvious the more we want to represent formally human knowledge. As far as uncertain data are concerned, we have neither instruments nor reasoning at our disposal as well defined and unquestionable as those used in the probability theory. This almost infallible domain is the result of a tremendous work by the whole scientific world. But when measures are dubious, bad or no longer possible and when we really have to make use of the richness of human reasoning in its variety, then the theories dealing with the treatment of uncertainty, some quite new and other ones older, provide the required complement, and fill in the gap left in the field of knowledge representation. Nowadays, various theories are widely used: fuzzy sets, belief function, the convenient associations between probability and fuzziness etc ... We are more and more in need of a wide range of instruments and theories to build models that are more and more adapted to the most complex systems Mathematics Logic, Symbolic and mathematical Mathematical Logic and Foundations Mathematik Entscheidungstheorie (DE-588)4138606-1 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1985 Louvain-la-Neuve gnd-content Entscheidungstheorie (DE-588)4138606-1 s 2\p DE-604 Fuzzy-Menge (DE-588)4061868-7 s 3\p DE-604 Jones, André edt Kaufmann, Arnold edt Zimmermann, Hans-Jürgen edt NATO ASI Series, Series C Mathematical and Physical Sciences 177 (DE-604)BV000902768 177 https://doi.org/10.1007/978-94-009-4682-8 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Fuzzy Sets Theory and Applications Mathematics Logic, Symbolic and mathematical Mathematical Logic and Foundations Mathematik Entscheidungstheorie (DE-588)4138606-1 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
subject_GND | (DE-588)4138606-1 (DE-588)4061868-7 (DE-588)1071861417 |
title | Fuzzy Sets Theory and Applications |
title_alt | Proceedings of the NATO Advanced Study Institute, Louvain-la-Neuve, Belgium, July 8-20, 1985 |
title_auth | Fuzzy Sets Theory and Applications |
title_exact_search | Fuzzy Sets Theory and Applications |
title_full | Fuzzy Sets Theory and Applications edited by André Jones, Arnold Kaufmann, Hans-Jürgen Zimmermann |
title_fullStr | Fuzzy Sets Theory and Applications edited by André Jones, Arnold Kaufmann, Hans-Jürgen Zimmermann |
title_full_unstemmed | Fuzzy Sets Theory and Applications edited by André Jones, Arnold Kaufmann, Hans-Jürgen Zimmermann |
title_short | Fuzzy Sets Theory and Applications |
title_sort | fuzzy sets theory and applications |
topic | Mathematics Logic, Symbolic and mathematical Mathematical Logic and Foundations Mathematik Entscheidungstheorie (DE-588)4138606-1 gnd Fuzzy-Menge (DE-588)4061868-7 gnd |
topic_facet | Mathematics Logic, Symbolic and mathematical Mathematical Logic and Foundations Mathematik Entscheidungstheorie Fuzzy-Menge Konferenzschrift 1985 Louvain-la-Neuve |
url | https://doi.org/10.1007/978-94-009-4682-8 |
volume_link | (DE-604)BV000902768 |
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