| 書目名稱 | Fuzzy Sets in Approximate Reasoning and Information Systems |
| 編輯 | James C. Bezdek,Didier Dubois,Henri Prade |
| 視頻video | http://file.papertrans.cn/352/351365/351365.mp4 |
| 叢書名稱 | The Handbooks of Fuzzy Sets |
| 圖書封面 |  |
| 描述 | Approximate reasoning is a key motivation in fuzzy sets andpossibility theory. This volume provides a coherent view of thisfield, and its impact on database research and information retrieval.First, the semantic foundations of approximate reasoning arepresented. Special emphasis is given to the representation of fuzzyrules and specialized types of approximate reasoning. Then syntacticaspects of approximate reasoning are surveyed and the algebraicunderpinnings of fuzzy consequence relations are presented andexplained. The second part of the book is devoted to inductive andneuro-fuzzy methods for learning fuzzy rules. It also contains newmaterial on the application of possibility theory to data fusion. Thelast part of the book surveys the growing literature on fuzzyinformation systems. Each chapter contains extensive bibliographicalmaterial. ..Fuzzy Sets in Approximate Reasoning and Information Systems. is amajor source of information for research scholars and graduatestudents in computer science and artificial intelligence, interestedin human information processing. |
| 出版日期 | Book 1999 |
| 關(guān)鍵詞 | Fuzzy; Information; artificial intelligence; fuzzy methods; fuzzy sets; information system; intelligence; l |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-5243-7 |
| isbn_softcover | 978-1-4613-7390-2 |
| isbn_ebook | 978-1-4615-5243-7Series ISSN 1388-4352 |
| issn_series | 1388-4352 |
| copyright | Springer Science+Business Media New York 1999 |
|Archiver|手機(jī)版|小黑屋|
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