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A Multi-Criteria Neutrosophic Group Decision Making Method Based TOPSIS for Supplier Selection |
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PP: 1843-1852 |
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doi:10.18576/amis/100525
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Author(s) |
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Rıdvan Sahin,
Muhammet Yigider,
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Abstract |
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| The process of multi-criteria group decision making (MCGDM) is of determining the best choice among all of the probable
alternatives. The problem of supplier selection on which decision maker has usually vague and imprecise knowledge is a typical example
ofmulti criteria group decision-making problem. The conventional crisp techniques has notmuch effective for solvingMCDMproblems
because of imprecise or fuzziness nature of the linguistic assessments. To find the exact values for MCGDM problems is both difficult
and impossible in more cases in real world. So, it is more reasonable to consider the values of alternatives according to the criteria
as single valued neutrosophic sets (SVNS). This paper deal with the technique for order preference by similarity to ideal solution
(TOPSIS) approach and extend the TOPSIS method to MCGDM problem with single valued neutrosophic information. The value
of each alternative and the weight of each criterion are characterized by single valued neutrosophic numbers. Here, the importance
of criteria and alternatives is identified by aggregating individual opinions of decision makers (DMs) via single valued neutrosophic
weighted averaging (SVNWA) operator. The proposed method is, easy use, precise and practical for solving MCGDM problem with
single valued neutrosophic data. Finally, to show the applicability of the developed method, a numerical experiment for supplier choice
is given as an application of single valued neutrosophic TOPSIS method at end of this paper. |
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