Fuzzy Data Warehousing for Performance Measurement

Concept and Implementation

  • Daniel Fasel

Part of the Fuzzy Management Methods book series (FMM)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Daniel Fasel
    Pages 1-8
  3. Concept

    1. Front Matter
      Pages 9-9
    2. Daniel Fasel
      Pages 11-42
    3. Daniel Fasel
      Pages 43-114
  4. Application

    1. Front Matter
      Pages 115-115
    2. Daniel Fasel
      Pages 117-150
  5. Implementation

    1. Front Matter
      Pages 151-151
    2. Daniel Fasel
      Pages 153-182
  6. Evaluation and Conclusion

    1. Front Matter
      Pages 183-183
  7. Back Matter
    Pages 195-236

About this book


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.


Data analytics Data warehouse Fuzzy classification Fuzzy logic Fuzzy set theory OLAP application Soft computing

Authors and affiliations

  • Daniel Fasel
    • 1
  1. 1.Scigility Inc.MarlySwitzerland

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Business and Economics
  • Print ISBN 978-3-319-04225-1
  • Online ISBN 978-3-319-04226-8
  • Series Print ISSN 2196-4130
  • Series Online ISSN 2196-4149
  • Buy this book on publisher's site
Industry Sectors
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Consumer Packaged Goods