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License: CC BY NC
Data sources: UnpayWall
https://doi.org/10.2991/.2013....
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Compensatory Fuzzy Logic Uses in Business Indicators Design

Authors: Jorge Marx Gomez; Patricia Perez Lorences; Pablo Michel Marin Ortega;

Compensatory Fuzzy Logic Uses in Business Indicators Design

Abstract

Most of the information needed for the management in the decision making process is essentially based on subjective and imprecise concepts expressed primarily by "experts" in a natural language or based in simples indicators and it’s not capable to check the strategy in a more integral way. In the present research we show two application of the compensatory fuzzy logic to resolve the problem mentioned above. As the main contributions we show first an aggregation method to design new indicators based on the statistic and compensatory fuzzy logic approach and as second we define a new indicator to measure the IT governance level.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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