2012
DOI: 10.1016/j.eswa.2012.01.100
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Personnel selection based on computing with words and fuzzy MULTIMOORA

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Cited by 204 publications
(123 citation statements)
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References 41 publications
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“…minimizing function (9) received as follows: (1, 3,5,6,2,4). Results for criterion Y components y j were the same as in (20).…”
Section: Case Studymentioning
confidence: 95%
See 2 more Smart Citations
“…minimizing function (9) received as follows: (1, 3,5,6,2,4). Results for criterion Y components y j were the same as in (20).…”
Section: Case Studymentioning
confidence: 95%
“…(17) we have only 2 summands: CR 3,3 (α, β) = (2 − 1) 2 + (1 − 2) 2 = 2. In the next step we choose other values of coefficients satisfying conditions (18) and (4). If the number of elements in the intersection of sets (16) is greater or equal than 2, we calculate function (17) value.…”
Section: Personnel Ranking and Selection Problem Solution By Applicatmentioning
confidence: 99%
See 1 more Smart Citation
“…Zhang and Liu (2011) proposed an intuitionistic fuzzy multi-criteria decision making method with grey relational analysis (GRA) to select system analysis engineer. Baležentis, Baležentis and Brauers (2012) modified fuzzy multi objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) for personnel selection. Dadelo, Turskis, Zavadskas and Dadeliene (2012) presented The Use of a Hybrid MCDM Model for Public Relations Personnel Selection 391 model for personnel selection based on expert evaluation method and ARAS method.…”
Section: Personnel Selection Backgroundmentioning
confidence: 99%
“…There are several studies [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] in literature offering solutions to PS problem with different methodologies. Fewer of them focus on FAHP method in PS [1,12], while other studies focus on MCDM methods, fuzzy TOPSIS methods and other hybrid methods.…”
Section: Introductionmentioning
confidence: 99%