Fuzzy Classifier Design:
Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever since have been a center of many discussions, fervently admired and condemned. Both proponents and opponents consider the argu ments pointless because none of them would step back from their territory. And st...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2000
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
49 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever since have been a center of many discussions, fervently admired and condemned. Both proponents and opponents consider the argu ments pointless because none of them would step back from their territory. And stiH, discussions burst out from a single sparkle like a conference pa per or a message on some fuzzy-mail newsgroup. Here is an excerpt from an e-mail messagepostedin1993tofuzzy-mail@vexpert. dbai. twvien. ac. at. by somebody who signed "Dave". , . . . Why then the "logic" in "fuzzy logic"? I don't think anyone has successfully used fuzzy sets for logical inference, nor do I think anyone wiH. In my admittedly neophyte opinion, "fuzzy logic" is a misnomer, an oxymoron. (1 would be delighted to be proven wrong on that. ) . . . I carne to the fuzzy literature with an open mind (and open wal let), high hopes and keen interest. I am very much disiHusioned with "fuzzy" per se, but I did happen across some extremely interesting things along the way. " Dave, thanks for the nice quote! Enthusiastic on the surface, are not many of us suspicious deep down? In some books and journals the word fuzzy is religiously avoided: fuzzy set theory is viewed as a second-hand cheap trick whose aim is nothing else but to devalue good classical theories and open up the way to lazy ignorants and newcomers |
| Beschreibung: | 1 Online-Ressource (X, 315 p) |
| ISBN: | 9783790818505 |
| DOI: | 10.1007/978-3-7908-1850-5 |
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| 520 | |a Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever since have been a center of many discussions, fervently admired and condemned. Both proponents and opponents consider the argu ments pointless because none of them would step back from their territory. And stiH, discussions burst out from a single sparkle like a conference pa per or a message on some fuzzy-mail newsgroup. Here is an excerpt from an e-mail messagepostedin1993tofuzzy-mail@vexpert. dbai. twvien. ac. at. by somebody who signed "Dave". , . . . Why then the "logic" in "fuzzy logic"? I don't think anyone has successfully used fuzzy sets for logical inference, nor do I think anyone wiH. In my admittedly neophyte opinion, "fuzzy logic" is a misnomer, an oxymoron. (1 would be delighted to be proven wrong on that. ) . . . I carne to the fuzzy literature with an open mind (and open wal let), high hopes and keen interest. I am very much disiHusioned with "fuzzy" per se, but I did happen across some extremely interesting things along the way. " Dave, thanks for the nice quote! Enthusiastic on the surface, are not many of us suspicious deep down? In some books and journals the word fuzzy is religiously avoided: fuzzy set theory is viewed as a second-hand cheap trick whose aim is nothing else but to devalue good classical theories and open up the way to lazy ignorants and newcomers | ||
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Datensatz im Suchindex
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| author | Kuncheva, Ludmila I. |
| author_facet | Kuncheva, Ludmila I. |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-7908-1850-5 |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790818505 |
| language | English |
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| spelling | Kuncheva, Ludmila I. Verfasser aut Fuzzy Classifier Design by Ludmila I. Kuncheva Heidelberg Physica-Verlag HD 2000 1 Online-Ressource (X, 315 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 49 Fuzzy sets were first proposed by Lotfi Zadeh in his seminal paper [366] in 1965, and ever since have been a center of many discussions, fervently admired and condemned. Both proponents and opponents consider the argu ments pointless because none of them would step back from their territory. And stiH, discussions burst out from a single sparkle like a conference pa per or a message on some fuzzy-mail newsgroup. Here is an excerpt from an e-mail messagepostedin1993tofuzzy-mail@vexpert. dbai. twvien. ac. at. by somebody who signed "Dave". , . . . Why then the "logic" in "fuzzy logic"? I don't think anyone has successfully used fuzzy sets for logical inference, nor do I think anyone wiH. In my admittedly neophyte opinion, "fuzzy logic" is a misnomer, an oxymoron. (1 would be delighted to be proven wrong on that. ) . . . I carne to the fuzzy literature with an open mind (and open wal let), high hopes and keen interest. I am very much disiHusioned with "fuzzy" per se, but I did happen across some extremely interesting things along the way. " Dave, thanks for the nice quote! Enthusiastic on the surface, are not many of us suspicious deep down? In some books and journals the word fuzzy is religiously avoided: fuzzy set theory is viewed as a second-hand cheap trick whose aim is nothing else but to devalue good classical theories and open up the way to lazy ignorants and newcomers Computer Science Pattern Recognition Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Artificial intelligence Pattern recognition Mathematical logic Erscheint auch als Druck-Ausgabe 9783790824728 https://doi.org/10.1007/978-3-7908-1850-5 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Kuncheva, Ludmila I. Fuzzy Classifier Design Computer Science Pattern Recognition Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Artificial intelligence Pattern recognition Mathematical logic |
| title | Fuzzy Classifier Design |
| title_auth | Fuzzy Classifier Design |
| title_exact_search | Fuzzy Classifier Design |
| title_full | Fuzzy Classifier Design by Ludmila I. Kuncheva |
| title_fullStr | Fuzzy Classifier Design by Ludmila I. Kuncheva |
| title_full_unstemmed | Fuzzy Classifier Design by Ludmila I. Kuncheva |
| title_short | Fuzzy Classifier Design |
| title_sort | fuzzy classifier design |
| topic | Computer Science Pattern Recognition Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Artificial intelligence Pattern recognition Mathematical logic |
| topic_facet | Computer Science Pattern Recognition Mathematical Logic and Foundations Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) IT in Business Computer science Information technology Business / Data processing Data structures (Computer science) Artificial intelligence Pattern recognition Mathematical logic |
| url | https://doi.org/10.1007/978-3-7908-1850-5 |
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