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Generalized Linguistic Ordered Weighted Logarithm Averaging Operators

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2012Publisher:IEEEJournal:2012 International Conference on Computer Science and Service System
Authors: Huayou Chen; Ligang Zhou; Yingdong He; Su Guo;

doi: 10.1109/csss.2012.367

Generalized Linguistic Ordered Weighted Logarithm Averaging Operators

Abstract

Motivated by the optimal solution of a deviation model proposed in this paper, we develop the generalized linguistic weighted logarithm averaging (GLWLA) operator and the generalized linguistic ordered weighted logarithm averaging (GLOWLA) operator in the group decision making under the linguistic surrounding, which are obtained by constructing the mathematical model for minimizing the deviation.

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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.
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