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Defining personalized concepts for XBRL using iPAD‐drawn fuzzy sets

Defining personalized concepts for XBRL using iPAD‐drawn fuzzy sets An efficient and effective analysis of business data requires a better understanding of what the data represents, and to what degree. A human‐like way of accomplishing that without being too detailed yet learning more about data content is to summarize and map the data into concepts familiar to a person performing analysis. Processes of summarization help identify the most essential facts that are embedded in the data. All this is of significant importance for analysis of large amounts of business data required to make good and sound financial decisions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Intelligent Systems in Accounting, Finance & Management Wiley

Defining personalized concepts for XBRL using iPAD‐drawn fuzzy sets

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Publisher
Wiley
Copyright
Copyright © 2018 John Wiley & Sons, Ltd.
ISSN
1055-615X
eISSN
1099-1174
DOI
10.1002/isaf.1426
Publisher site
See Article on Publisher Site

Abstract

An efficient and effective analysis of business data requires a better understanding of what the data represents, and to what degree. A human‐like way of accomplishing that without being too detailed yet learning more about data content is to summarize and map the data into concepts familiar to a person performing analysis. Processes of summarization help identify the most essential facts that are embedded in the data. All this is of significant importance for analysis of large amounts of business data required to make good and sound financial decisions.

Journal

Intelligent Systems in Accounting, Finance & ManagementWiley

Published: Jan 1, 2018

Keywords: ; ; ;

References