Fuzzy Data Warehousing for Performance Measurement

Fuzzy Data Warehousing for Performance Measurement
By:Daniel Fasel
Published on 2014-07-08 by Springer

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 \u200bunderstand 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.

This Book was ranked at 13 by Google Books for keyword Data Warehousing.

Book ID of Fuzzy Data Warehousing for Performance Measurement's Books is 1UFTBQAAQBAJ, Book which was written byDaniel Faselhave ETAG "DSxBDux9VHI"

Book which was published by Springer since 2014-07-08 have ISBNs, ISBN 13 Code is 9783319042268 and ISBN 10 Code is 3319042262

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