| 書目名稱 | Fuzzy Data Warehousing for Performance Measurement |
| 副標題 | Concept and Implemen |
| 編輯 | Daniel Fasel |
| 視頻video | http://file.papertrans.cn/352/351193/351193.mp4 |
| 概述 | Presents an innovative approach for qualitative data analysis that is close to human reasoning.A practical use case example explains how to integrate fuzzy concepts in existing data warehouses.Provide |
| 叢書名稱 | Fuzzy Management Methods |
| 圖書封面 |  |
| 描述 | .The numeric values retrieved from a data warehouse may be difficult for business users to interpret, and may even be interpreted incorrectly. Therefore, in order to better ?understand numeric values, business users may require an interpretation in meaningful, non-numeric terms. However, if the transition between non-numeric terms is crisp, true values cannot be measured and a smooth transition between classes may no longer be possible. This book addresses this problem by presenting a fuzzy classification-based approach for a data warehouses. Moreover, it introduces a modeling approach for fuzzy data warehouses that makes it possible to integrate fuzzy linguistic variables in a meta-table structure. The essence of this structure is that fuzzy concepts can be integrated into the dimensions and facts of an existing classical data warehouse without affecting its core. This allows a simultaneous analysis, both fuzzy and crisp. A case study of a movie rental company underlines and exemplifies the proposed approach..?. |
| 出版日期 | Book 2014 |
| 關鍵詞 | Data analytics; Data warehouse; Fuzzy classification; Fuzzy logic; Fuzzy set theory; OLAP application; Sof |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-04226-8 |
| isbn_softcover | 978-3-319-35581-8 |
| isbn_ebook | 978-3-319-04226-8Series ISSN 2196-4130 Series E-ISSN 2196-4149 |
| issn_series | 2196-4130 |
| copyright | Springer International Publishing Switzerland 2014 |
|Archiver|手機版|小黑屋|
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