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A multicriteria group decision making approach for evaluating sustainable smart grid systems

Authors: Santoso Wibowo; Srimannarayana Grandhi;

A multicriteria group decision making approach for evaluating sustainable smart grid systems

Abstract

This paper formulates the sustainable smart grid systems' performance evaluation problem as a multicriteria group decision making problem and presents a new multicriteria group decision making approach for effectively evaluating the sustainable performance of smart grid systems. Intuitionistic fuzzy numbers are used for representing the subjective assessments of the decision makers. To greatly reduce the cognitive demanding on the decision makers, the pairwise comparison technique is adopted. An intuitionistic fuzzy weighted average (IFWA) operator is introduced for aggregating the intuitionistic fuzzy decision matrices into the overall intuitionistic fuzzy performance values. The concept of ideal solutions is applied for calculating the closeness coefficient value for every alternative across all criteria. An example is presented for demonstrating the applicability of the approach for dealing with sustainable smart grid systems' performance evaluation problems.

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    popularity
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    influence
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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!
1
Average
Average
Average