2020
DOI: 10.1016/j.sciaf.2020.e00471
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Performance analysis of fuzzy analytic hierarchy process multi-criteria decision support models for contractor selection

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Cited by 55 publications
(41 citation statements)
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“…However, several algorithms have been proposed in the literature to calculate the weights criteria or alternative from fuzzy comparison matrices (Wang et al, 2008;Chang, 1992). But the proposed fuzzy AHP algorithm may lead to numerous problems (Wang et al, 2008;Ahmed and Kilic, 2019;Afolayan et al, 2020). We cite among them, the calculation of weights from fuzzy comparison matrices is not straightforward due to complexities associated with the arithmetics of fuzzy numbers.…”
Section: The Proposed Approachmentioning
confidence: 99%
“…However, several algorithms have been proposed in the literature to calculate the weights criteria or alternative from fuzzy comparison matrices (Wang et al, 2008;Chang, 1992). But the proposed fuzzy AHP algorithm may lead to numerous problems (Wang et al, 2008;Ahmed and Kilic, 2019;Afolayan et al, 2020). We cite among them, the calculation of weights from fuzzy comparison matrices is not straightforward due to complexities associated with the arithmetics of fuzzy numbers.…”
Section: The Proposed Approachmentioning
confidence: 99%
“…The fuzzy analytical hierarchy process is an approach in the multi-criteria assessment of EDM process parameters to establish the comparative weights of the parameters (Afolayan et al, 2020;Li et al, 2020;Yazdi et al, 2020;Song et al, 2021;Zhang et al, 2021). It is similar to AHP, but the fuzzy AHP approach positions the AHP dimension into the fuzzy triangle dimension to attain priority ranking parameters (Li et al, 2020;Song et al, 2021).…”
Section: Fuzzy Analytical Hierarchy Processmentioning
confidence: 99%
“…It is similar to AHP, but the fuzzy AHP approach positions the AHP dimension into the fuzzy triangle dimension to attain priority ranking parameters (Li et al, 2020;Song et al, 2021). For the traditional ranking for the parameters, the traditional importance scale has six levels, recognized by the numbers 1, 3, 5, 7, 9 as the first five numbers and 2, 4, 6, 8 as the intermediate numbers (Afolayan et al, 2020;Li et al, 2020). These are called crisps or crisp numeric values.…”
Section: Fuzzy Analytical Hierarchy Processmentioning
confidence: 99%
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