Fuzzy Data Warehousing for Performance Measurement

Editora: Springer International Publishing Data de lançamento: 2014-07-08
Pontos Requerido: 32200


Descrição

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.

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Informação Adicional

Gênero: Business mathematics & systems

Coleção: Springer

Typo: Adobe PDF

ISBN: 9783319042268

Informação Adicional

Gênero: Business mathematics & systems

Coleção: Springer

Typo: Adobe PDF

ISBN: 9783319042268

Conteúdo alternativo sugerido: Daniel Fasel
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