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Linear optimization method on single valued neutrosophic set and its sensitivity analysis

Authors: DELİ, I.;

Linear optimization method on single valued neutrosophic set and its sensitivity analysis

Abstract

Recently, decision making problems has prompted extensive awareness, especially multi-attribute decision-making problem in single valued neutrosophic sets. Given the inherent characteristics of this case, a multi-attribute decision-making problem with a single valued neutrosophic sets(SVN-sets) is explored with both weights and attribute ratings expressed by single valued neutrosophic information. Firstly, some basic concepts concerning SVN-sets are reviewed for the subsequent analysis. Secondly, a linear optimization method of SVN-sets are developed to describe the sensitivity analysis of attribute weights which give changing intervals of attribute weights in which the ranking order of the alternatives is required to remain unchanging. Finally, we presented an illustrative example to show its applicability and effectiveness. Publisher's Version

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Turkey
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Keywords

Single valued neutrosophic set;linear optimization;sensitivity analysis;multi- attribute decision making., Multiattribute decision making, Linear optimization, Sensitivity analysis, Single valued neutrosophic set

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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!
0
Average
Average
Average
Green