2009
DOI: 10.1016/j.apm.2008.06.002
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Extension of VIKOR method for decision making problem with interval numbers

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Cited by 395 publications
(200 citation statements)
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“…In an interval method, the availability of interval information concerning quantities is essential for modeling [32]. Unlike probabilistic and fuzzy methods, there is no need for the interval approach to determine or assume possible distributions (in random programming) or membership functions (in fuzzy programming), as working with interval data is simpler than other methods [33].…”
Section: Approaches To Applying Uncertainties In Task Allocationmentioning
confidence: 99%
“…In an interval method, the availability of interval information concerning quantities is essential for modeling [32]. Unlike probabilistic and fuzzy methods, there is no need for the interval approach to determine or assume possible distributions (in random programming) or membership functions (in fuzzy programming), as working with interval data is simpler than other methods [33].…”
Section: Approaches To Applying Uncertainties In Task Allocationmentioning
confidence: 99%
“…Equally, they have been tackle the MCDM problems with the interval valued fuzzy numbers (Kuo and Liang, 2012;Sayadi et al, 2009).…”
Section: The Proposed Methodsmentioning
confidence: 99%
“…The VIKOR method classifies the various alternatives so that most of the group obtains their highest utility and minimal individual repentance for the rest. Assuming that the alternatives are been evaluated according to each criterion function, the compromise ranking can be performed by comparing the 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 measure of closeness to the ideal alternative (Sayadi et al 2009). VIKOR method ranks alternatives and determines the solution named compromise that is the closest to the ideal.…”
Section: Achieving Compromise Solution With Vikor Methodsmentioning
confidence: 99%