| 書目名稱 | Intelligent Decision Support | | 副標題 | Handbook of Applicat | | 編輯 | Roman S?owiński | | 視頻video | http://file.papertrans.cn/470/469609/469609.mp4 | | 叢書名稱 | Theory and Decision Library D: | | 圖書封面 |  | | 描述 | Intelligent decision support is based on human knowledgerelated to a specific part of a real or abstract world. When theknowledge is gained by experience, it is induced from empirical data.The data structure, called an information system, is a record ofobjects described by a set of attributes. .Knowledge is understood here as an ability to classify objects.Objects being in the same class are indiscernible by means ofattributes and form elementary building blocks (granules, atoms). Inparticular, the granularity of knowledge causes that some notionscannot be expressed precisely within available knowledge and can bedefined only vaguely. In the rough sets theory created by Z. Pawlakeach imprecise concept is replaced by a pair of precise conceptscalled its lower and upper approximation. These approximations arefundamental tools and reasoning about knowledge. .The rough sets philosophy turned out to be a very effective, new toolwith many successful real-life applications to its credit. .It is worthwhile stressing that no auxiliary assumptions are neededabout data, like probability or membership function values, which isits great advantage. .The present book reveals a wide spectrum of app | | 出版日期 | Book 1992 | | 關(guān)鍵詞 | Analysis; algorithms; classification; control algorithm; fuzzy; information system; learning; set theory; se | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-015-7975-9 | | isbn_softcover | 978-90-481-4194-4 | | isbn_ebook | 978-94-015-7975-9 | | copyright | Springer Science+Business Media B.V. 1992 |
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