Fuzzy Data Warehousing for Performance Measurement: Concept and Implementation (Fuzzy Management Methods)
暫譯: 模糊數據倉儲性能測量:概念與實現(模糊管理方法)
Daniel Fasel
- 出版商: Springer
- 出版日期: 2014-03-17
- 售價: $4,200
- 貴賓價: 9.5 折 $3,990
- 語言: 英文
- 頁數: 236
- 裝訂: Hardcover
- ISBN: 3319042254
- ISBN-13: 9783319042251
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
從資料倉儲中檢索到的數值對於商業使用者來說可能難以解釋,甚至可能被誤解。因此,為了更好地理解數值,商業使用者可能需要以有意義的非數值術語進行解釋。然而,如果非數值術語之間的轉換過於明確,則無法測量真實值,並且類別之間的平滑過渡可能不再可行。本書通過提出一種基於模糊分類的方法來解決這個問題,專門針對資料倉儲。此外,本書還介紹了一種模糊資料倉儲的建模方法,使得在元表結構中整合模糊語言變數成為可能。這種結構的本質在於,模糊概念可以在不影響其核心的情況下,整合到現有的經典資料倉儲的維度和事實中。這使得模糊和清晰的分析可以同時進行。一個電影租賃公司的案例研究強調並示範了所提出的方法。