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A new fuzzy ranking method based on fuzzy preference relation

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 07 Nov 2002Publisher:IEEEJournal:SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), volume 5, pages 3,416-3,420
Authors: Hsuan-Shih Lee;

doi: 10.1109/icsmc.2000.886536

A new fuzzy ranking method based on fuzzy preference relation

Abstract

In this paper, we propose a new fuzzy preference relation for fuzzy ranking, such that it is easy to compute and such that the uncertainty of fuzzy numbers can be maintained during the computation. Our ranking method is a good one since it possesses the following properties: (1) fuzzy preference presentation; (2) rationality of preference ordering; (3) robustness; (4) efficiency.

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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!
3
Average
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