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European Journal of Operational Research
Article . 2001 . Peer-reviewed
License: Elsevier TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Rough sets theory for multicriteria decision analysis

Authors: GRECO, Salvatore; MATARAZZO B.; SLOWINSKI R.;

Rough sets theory for multicriteria decision analysis

Abstract

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Keywords

/dk/atira/pure/core/subjects/bussys, Management decision making, including multiple objectives, decision rules, Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance, conjoint measurement, Business and Management, Computing, 006, /dk/atira/pure/core/subjects/business, multicriteria decision analysis, Business Information Systems, classification, ranking, rough sets, Fundamental topics (basic mathematics, methodology; applicable to economics in general), /dk/atira/pure/core/subjects/computing, Theory of fuzzy sets, etc., sorting, choice

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citations
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!
1K
Top 0.1%
Top 0.1%
Top 1%
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