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Correlation and aggregation integrated MCDM with interval-valued intuitionistic fuzzy numbers

Authors: Shihu Liu;

Correlation and aggregation integrated MCDM with interval-valued intuitionistic fuzzy numbers

Abstract

For many decision making problems, all the possible alternatives are treated equally before one find the most desirable alternative. But, it is a little unreasonable if all alternatives are treated equally. So, in this paper by taking the aggregation operator into account, the weights of criteria can be determined successfully. There in to, the parameters for aggregation operator are the decision maker's special preferences for some alternatives. On these bases, the correlation coefficient and aggregation operator integrated approach is constructed, to determine the most favorable alternative under the MCDM with interval-valued intuitionistic fuzzy numbers. Finally, we apply an example to show the validity of the proposed decision making approach.

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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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