2022
DOI: 10.1051/mfreview/2022014
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Application of MOORA & COPRAS integrated with entropy method for multi-criteria decision making in dry turning process of Nimonic C263

Abstract: This article presents an integrated multi-criteria decision making using Entropy, MOORA and COPRAS methods for turning Nimonic C263. Experiments were performed under L27 Taguchi orthogonal array. Dry turning was performed and cubic boron nitride (CBN) was used to turn the alloy. The variables speed, feed and depth of cut were chosen as factors. For each experiment, the shear force component was measured during on line. The insert flank wear was measured after every experiment. The main objective of this paper … Show more

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Cited by 9 publications
(9 citation statements)
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“…These weights are then applied to the PLOS ONE FMOORA, FCOPRAS, and hybrid FMOORA-FCOPRAS MCDM methods. The process of determining the weights of the criteria using the entropy method is as follows [47,48]:…”
Section: Apply Ewm To Calculate Criteria Weightsmentioning
confidence: 99%
See 2 more Smart Citations
“…These weights are then applied to the PLOS ONE FMOORA, FCOPRAS, and hybrid FMOORA-FCOPRAS MCDM methods. The process of determining the weights of the criteria using the entropy method is as follows [47,48]:…”
Section: Apply Ewm To Calculate Criteria Weightsmentioning
confidence: 99%
“…This study proposes a fuzzy COPRAS method for supplier evaluation that can be applied to the SSP logically and efficiently. As with MOORA, we modify the FCOPRAS steps to demonstrate how the mathematical concept of FCOPRAS operates [48,[54][55][56][57][58][59].…”
Section: Plos Onementioning
confidence: 99%
See 1 more Smart Citation
“…Because each criterion has a different relevance, it may be assigned weight based on the Entropy method. 30…”
Section: Copras Optimizationmentioning
confidence: 99%
“…Because each criterion has a different relevance, it may be assigned weight based on the Entropy method. 30 In terms of relative weights, the direct and proportional values of the significant and utility metrics were evaluated. Best-to-worst choices were identified based on the highest and lowest utility degree values.…”
Section: Copras Optimizationmentioning
confidence: 99%