Please use this identifier to cite or link to this item: http://localhost:80/handle/Hannan/31338
Title: Fuzzy Data Warehousing for Performance Measurement
Other Titles: Concept and Implementation
Authors: Fasel, Daniel.
subject: Economics;Information systems.;Data Mining;Management information systems.;Economics/Management Science.;Business Information Systems.;Information Systems and Communication Service.;Data Mining and Knowledge Discovery.;650;HF54.5-54.56
Year: 2014
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Fuzzy Management Methods, 2196-4130.
Fuzzy Management Methods, 2196-4130.
Abstract: 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.
Description: Printed edition: 9783319042251.
URI: http://46.100.53.162/handle/Ebook/31338
ISBN: 9783319042268.
9783319042251 (print)
Appears in Collections:مدیریت

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Title: Fuzzy Data Warehousing for Performance Measurement
Other Titles: Concept and Implementation
Authors: Fasel, Daniel.
subject: Economics;Information systems.;Data Mining;Management information systems.;Economics/Management Science.;Business Information Systems.;Information Systems and Communication Service.;Data Mining and Knowledge Discovery.;650;HF54.5-54.56
Year: 2014
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Fuzzy Management Methods, 2196-4130.
Fuzzy Management Methods, 2196-4130.
Abstract: 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.
Description: Printed edition: 9783319042251.
URI: http://46.100.53.162/handle/Ebook/31338
ISBN: 9783319042268.
9783319042251 (print)
Appears in Collections:مدیریت

Files in This Item:
File Description SizeFormat 
9783319042268.pdf4.57 MBAdobe PDFThumbnail
Preview File
Title: Fuzzy Data Warehousing for Performance Measurement
Other Titles: Concept and Implementation
Authors: Fasel, Daniel.
subject: Economics;Information systems.;Data Mining;Management information systems.;Economics/Management Science.;Business Information Systems.;Information Systems and Communication Service.;Data Mining and Knowledge Discovery.;650;HF54.5-54.56
Year: 2014
place: Cham
Publisher: Springer International Publishing :.
Imprint: Springer,
Series/Report no.: Fuzzy Management Methods, 2196-4130.
Fuzzy Management Methods, 2196-4130.
Abstract: 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.
Description: Printed edition: 9783319042251.
URI: http://46.100.53.162/handle/Ebook/31338
ISBN: 9783319042268.
9783319042251 (print)
Appears in Collections:مدیریت

Files in This Item:
File Description SizeFormat 
9783319042268.pdf4.57 MBAdobe PDFThumbnail
Preview File