cam a22 2 4500 317106848 CHVBK 20201008212600.0 cr nn|008mamaa 140228s2014 xx -----s---- 0 0-eng-d 978-3-319-04225-1 print 978-3-319-04226-8 eISBN 10.1007/978-3-319-04226-8 doi (OCoLC)871586269 (IDSSG)000655418 Springer ger SzZuIDS HSG kids HF54.5-54.56 COM039000 bisacsh 650 23 DEAGI0C2C15ED8D8ADEBEC1257FCD00478904 iCapture Fuzzy Data Warehousing for Performance Measurement Concept and Implementation by Daniel Fasel Cham Springer International Publishing 2014 Online-Ressource Text txt rdacontent/ger Computermedien c rdamedia/ger Online-Ressource cr rdacarrier/ger Fuzzy Management Methods 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. Economics Information systems Data mining Management information systems Fasel Daniel https://doi.org/10.1007/978-3-319-04226-8 Volltext für Angehörige der Universität St. Gallen / FHS St. Gallen BK020053 XK020053 XK020000 noalma ids I IDSSG HSG HSG ONL HONL000655418 IDSSG HFHS HFHS ONL HONL000655418 IDSSG 490 0- Fuzzy Management Methods IDSSG 700 1- Fasel Daniel IDSSG 856 4- https://doi.org/10.1007/978-3-319-04226-8 Volltext für Angehörige der Universität St. Gallen / FHS St. Gallen