An Introduction to Fuzzy Logic Applications in Intelligent Systems:
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides a...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1992
|
| Schriftenreihe: | The Springer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems
165 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature |
| Beschreibung: | 1 Online-Ressource (VII, 356 p) |
| ISBN: | 9781461536406 |
| DOI: | 10.1007/978-1-4615-3640-6 |
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| 520 | |a An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature | ||
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Datensatz im Suchindex
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| author2 | Yager, Ronald R. Zadeh, Lotfi A. |
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| dewey-full | 006.3 |
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| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
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| indexdate | 2024-07-10T08:10:58Z |
| institution | BVB |
| isbn | 9781461536406 |
| language | English |
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| spelling | An Introduction to Fuzzy Logic Applications in Intelligent Systems edited by Ronald R. Yager, Lotfi A. Zadeh Boston, MA Springer US 1992 1 Online-Ressource (VII, 356 p) txt rdacontent c rdamedia cr rdacarrier The Springer International Series in Engineering and Computer Science, Knowledge Representation, Learning and Expert Systems 165 An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics Computer science Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Expertensystem (DE-588)4113491-6 gnd rswk-swf Fuzzy-Menge (DE-588)4061868-7 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Fuzzy-Logik (DE-588)4341284-1 s Expertensystem (DE-588)4113491-6 s 2\p DE-604 Fuzzy-Menge (DE-588)4061868-7 s Künstliche Intelligenz (DE-588)4033447-8 s 3\p DE-604 Yager, Ronald R. edt Zadeh, Lotfi A. edt Erscheint auch als Druck-Ausgabe 9781461366195 https://doi.org/10.1007/978-1-4615-3640-6 Verlag URL des Erstveröffentlichers 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 | An Introduction to Fuzzy Logic Applications in Intelligent Systems Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics Computer science Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Expertensystem (DE-588)4113491-6 gnd Fuzzy-Menge (DE-588)4061868-7 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4113491-6 (DE-588)4061868-7 (DE-588)4341284-1 (DE-588)4033447-8 (DE-588)4143413-4 |
| title | An Introduction to Fuzzy Logic Applications in Intelligent Systems |
| title_auth | An Introduction to Fuzzy Logic Applications in Intelligent Systems |
| title_exact_search | An Introduction to Fuzzy Logic Applications in Intelligent Systems |
| title_full | An Introduction to Fuzzy Logic Applications in Intelligent Systems edited by Ronald R. Yager, Lotfi A. Zadeh |
| title_fullStr | An Introduction to Fuzzy Logic Applications in Intelligent Systems edited by Ronald R. Yager, Lotfi A. Zadeh |
| title_full_unstemmed | An Introduction to Fuzzy Logic Applications in Intelligent Systems edited by Ronald R. Yager, Lotfi A. Zadeh |
| title_short | An Introduction to Fuzzy Logic Applications in Intelligent Systems |
| title_sort | an introduction to fuzzy logic applications in intelligent systems |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics Computer science Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Expertensystem (DE-588)4113491-6 gnd Fuzzy-Menge (DE-588)4061868-7 gnd Fuzzy-Logik (DE-588)4341284-1 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics Computer science Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Expertensystem Fuzzy-Menge Fuzzy-Logik Künstliche Intelligenz Aufsatzsammlung |
| url | https://doi.org/10.1007/978-1-4615-3640-6 |
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