2018
DOI: 10.1080/00405000.2018.1541434
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Multi-criteria decision making in workforce choice using AHP, WSM and WPM

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Cited by 62 publications
(24 citation statements)
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“…The objective of this methodology is to obtain a reliable ranking of best alternatives in SUMP with which to improve the ease of implementation of SUMPs in cities. To this end, two different MCDM methods will be used: WSM ([ 36 ]) and SIMUS ([ 27 ]). These two methods will first be briefly described and justified, and then their mixed implementation through a hybrid methodology proposal will be explained.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The objective of this methodology is to obtain a reliable ranking of best alternatives in SUMP with which to improve the ease of implementation of SUMPs in cities. To this end, two different MCDM methods will be used: WSM ([ 36 ]) and SIMUS ([ 27 ]). These two methods will first be briefly described and justified, and then their mixed implementation through a hybrid methodology proposal will be explained.…”
Section: Methodsmentioning
confidence: 99%
“…This approach makes the SIMUS approach more attractive for proposing a hybrid framework in the case of urban mobility planning compared to other MCDM methods such as AHP [ 36 ], MOORA [ 39 ], ELECTRE [ 40 , 41 ], PROMETHEE [ 42 ], SAW [ 41 ] or TOPSIS [ 43 ], for example.…”
Section: Methodsmentioning
confidence: 99%
“…Once a comparison matrix has been made, it is necessary to sum the values in each column of the pair-wise matrix, compute each element of the matrix by its column total, and calculate the weight vector by finding the row average as in Equation (11) [60,63]:…”
Section: Stage 2-optimization Stagementioning
confidence: 99%
“…The weighted sum matrix is found by multiplying the pair-wise comparison matrix and the weight vector. Then, dividing all the elements of the weighted sum matrix by their respective priority vector element, a consistency vector (CV) is obtained as by Equation ( 12), [60][61][62][63]:…”
Section: Stage 2-optimization Stagementioning
confidence: 99%
See 1 more Smart Citation