Fuzzy Sets, Decision Making, and Expert Systems:
In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logi...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1987
|
| Ausgabe: | 1st ed. 1987 |
| Schriftenreihe: | International Series in Management Science Operations Research
10 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed |
| Beschreibung: | 1 Online-Ressource (XII, 336 p) |
| ISBN: | 9789400932494 |
| DOI: | 10.1007/978-94-009-3249-4 |
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| 520 | |a In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed | ||
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| author_sort | Zimmermann, Hans-Jürgen |
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| dewey-full | 658.40301 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
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| discipline | Informatik Psychologie Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Informatik Psychologie Mathematik Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-94-009-3249-4 |
| edition | 1st ed. 1987 |
| format | Electronic eBook |
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| id | DE-604.BV046873090 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:15:38Z |
| indexdate | 2024-07-10T08:56:11Z |
| institution | BVB |
| isbn | 9789400932494 |
| language | English |
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| spelling | Zimmermann, Hans-Jürgen Verfasser aut Fuzzy Sets, Decision Making, and Expert Systems by Hans-Jürgen Zimmermann 1st ed. 1987 Dordrecht Springer Netherlands 1987 1 Online-Ressource (XII, 336 p) txt rdacontent c rdamedia cr rdacarrier International Series in Management Science Operations Research 10 In the two decades since its inception by L. Zadeh, the theory of fuzzy sets has matured into a wide-ranging collection of concepts, models, and tech niques for dealing with complex phenomena which do not lend themselves to analysis by classical methods based on probability theory and bivalent logic. Nevertheless, a question which is frequently raised by the skeptics is: Are there, in fact, any significant problem areas in which the use of the theory of fuzzy sets leads to results which could not be obtained by classical methods? The approximately 5000 publications in this area, which are scattered over many areas such as artificial intelligence, computer science, control engineering, decision making, logic, operations research, pattern recognition, robotics and others, provide an affirmative answer to this question. In spite of the large number of publications, good and comprehensive textbooks which could facilitate the access of newcomers to this area and support teaching were missing until recently. To help to close this gap and to provide a textbook for courses in fuzzy set theory which can also be used as an introduction to this field, the first volume ofthis book was published in 1985 [Zimmermann 1985 b]. This volume tried to cover fuzzy set theory and its applications as extensively as possible. Applications could, therefore, only be described to a limited extent and not very detailed Operations Research/Decision Theory Artificial Intelligence Operations research Decision making Artificial intelligence Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Entscheidungstheorie (DE-588)4138606-1 gnd rswk-swf Entscheidungsprozess (DE-588)4121202-2 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 s Entscheidungstheorie (DE-588)4138606-1 s Expertensystem (DE-588)4113491-6 s DE-604 Entscheidungsprozess (DE-588)4121202-2 s Fuzzy-Logik (DE-588)4341284-1 s Erscheint auch als Druck-Ausgabe 9789401079570 Erscheint auch als Druck-Ausgabe 9780898381498 Erscheint auch als Druck-Ausgabe 9789400932500 https://doi.org/10.1007/978-94-009-3249-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Zimmermann, Hans-Jürgen Fuzzy Sets, Decision Making, and Expert Systems Operations Research/Decision Theory Artificial Intelligence Operations research Decision making Artificial intelligence Fuzzy-Logik (DE-588)4341284-1 gnd Expertensystem (DE-588)4113491-6 gnd Fuzzy-Menge (DE-588)4061868-7 gnd Entscheidungstheorie (DE-588)4138606-1 gnd Entscheidungsprozess (DE-588)4121202-2 gnd |
| subject_GND | (DE-588)4341284-1 (DE-588)4113491-6 (DE-588)4061868-7 (DE-588)4138606-1 (DE-588)4121202-2 |
| title | Fuzzy Sets, Decision Making, and Expert Systems |
| title_auth | Fuzzy Sets, Decision Making, and Expert Systems |
| title_exact_search | Fuzzy Sets, Decision Making, and Expert Systems |
| title_exact_search_txtP | Fuzzy Sets, Decision Making, and Expert Systems |
| title_full | Fuzzy Sets, Decision Making, and Expert Systems by Hans-Jürgen Zimmermann |
| title_fullStr | Fuzzy Sets, Decision Making, and Expert Systems by Hans-Jürgen Zimmermann |
| title_full_unstemmed | Fuzzy Sets, Decision Making, and Expert Systems by Hans-Jürgen Zimmermann |
| title_short | Fuzzy Sets, Decision Making, and Expert Systems |
| title_sort | fuzzy sets decision making and expert systems |
| topic | Operations Research/Decision Theory Artificial Intelligence Operations research Decision making Artificial intelligence Fuzzy-Logik (DE-588)4341284-1 gnd Expertensystem (DE-588)4113491-6 gnd Fuzzy-Menge (DE-588)4061868-7 gnd Entscheidungstheorie (DE-588)4138606-1 gnd Entscheidungsprozess (DE-588)4121202-2 gnd |
| topic_facet | Operations Research/Decision Theory Artificial Intelligence Operations research Decision making Artificial intelligence Fuzzy-Logik Expertensystem Fuzzy-Menge Entscheidungstheorie Entscheidungsprozess |
| url | https://doi.org/10.1007/978-94-009-3249-4 |
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