A FAHP-FTOPSIS approach for bioprinter selection

Chen, Tin Chih Toly; Lin, Yu Cheng

doi:10.1007/s12553-020-00469-8

Cited by 11 publications

(9 citation statements)

References 26 publications

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“…Subsequently, FTOPSIS [ 8 , 9 , 14 , 22 ] is applied to compare the overall performances of alternative suppliers. First, the performance of an alternative supplier in optimizing each criterion is normalized using the fuzzy distributive normalization [ 62 ]:

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Section: The Fuzzy Collaborative Intelligence Approachmentioning

confidence: 99%

“…After tuning the membership function of each fuzzy priority, the cFGM method can improve the accuracy. Subsequently, the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) method [ 8 , 9 , 14 , 22 ] is applied by each expert to compare the overall performances of alternative suppliers amid the COVID-19 pandemic. The sensitivity of each expert to changes in the overall performance of an alternative supplier is also considered.…”

Section: Introductionmentioning

confidence: 99%

“…However, the evaluation results by different experts are not equal and need to be aggregated. To this end, the fuzzy weighted intersection (FWI) operator [ 21 , 22 ] is applied to aggregate the evaluation results by all experts. Compared with existing aggregators (such as fuzzy extent analysis (FEA) [ 23 ], FGM, and fuzzy intersection (FI) [ 24 , 25 ]), FWI considers the inequality of experts’ authorities in a better way, and generates results that are acceptable to all experts [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Chen

Wang

2021

Healthcare

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The supply chain disruption caused by the coronavirus disease 2019 (COVID-19) pandemic has forced many manufacturers to look for alternative suppliers. How to choose a suitable alternative supplier in the COVID-19 pandemic has become an important task. To fulfill this task, this research proposes a calibrated fuzzy geometric mean (cFGM)-fuzzy technique for order preference by similarity to ideal solution (FTOPSIS)-fuzzy weighted intersection (FWI) approach. In the proposed methodology, first, the cFGM method is proposed to accurately derive the priorities of criteria. Subsequently, each expert applies the FTOPSIS method to compare the overall performances of alternative suppliers in the COVID-19 pandemic. The sensitivity of an expert to any change in the overall performance of the alternative supplier is also considered. Finally, the FWI operator is used to aggregate the comparison results by all experts, for which an expert’s authority level is set to a value proportional to the consistency of his/her pairwise comparison results. The cFGM-FTOPSIS-FWI approach has been applied to select suitable alternative suppliers for a Taiwanese foundry in the COVID-19 pandemic.

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…”

Section: The Fuzzy Collaborative Intelligence Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Chen

Wang

2021

Healthcare

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“…Step 7. Applying the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) approach [18,[40][41][42] to assess the overall performance of a built-in power bank for a smart backpack design.…”

Section: Implementation Proceduresmentioning

confidence: 99%

Comparing Built-in Power Banks for a Smart Backpack Design Using an Auto-Weighting Fuzzy-Weighted-Intersection FAHP Approach

Chen

Huang

et al. 2020

Mathematics

Self Cite

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Smart backpacks are a prevalent application of smart technologies, with functions such as motion recording, navigation, and energy harvesting and provision. Selecting a suitable built-in power bank is a critical task for a smart backpack design, which has rarely been investigated in the past. To fulfill this task, an auto-weighting fuzzy-weighted-intersection fuzzy analytic hierarchy process (FAHP) approach is proposed in this study. When decision makers lack an overall consensus, the auto-weighting fuzzy-weighted-intersection FAHP approach specifies decision makers’ authority levels according to the consistency ratios of their judgments. In this way, the consensus among all decision makers can be sought. The auto-weighting fuzzy-weighted-intersection FAHP approach has been applied to compare six mobile power banks for a smart backpack design.

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“…Subsequently, based on the aggregation result, the fuzzy weighted average (FWA) method is applied to assess the robustness of a factory to the COVID-19 pandemic. The robustness of a factory can also be compared with that of another using the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) [ 37 , 38 ]. Specifically speaking, a prevalent assessment technique (i.e., FTOPSIS) is applied to assess the robustness of a factory to the COVID-19, for which a fuzzy collaborative intelligence approach is proposed to provide the weights of factors in the ordinary assessment technique.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Robustness of a Factory Amid the COVID-19 Pandemic: A Fuzzy Collaborative Intelligence Approach

2020

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The COVID-19 pandemic has affected the operations of factories worldwide. However, the impact of the COVID-19 pandemic on different factories is not the same. In other words, the robustness of factories to the COVID-19 pandemic varies. To explore this topic, this study proposes a fuzzy collaborative intelligence approach to assess the robustness of a factory to the COVID-19 pandemic. In the proposed methodology, first, a number of experts apply a fuzzy collaborative intelligence approach to jointly evaluate the relative priorities of factors that affect the robustness of a factory to the COVID-19 pandemic. Subsequently, based on the evaluated relative priorities, a fuzzy weighted average method is applied to assess the robustness of a factory to the COVID-19 pandemic. The assessment result can be compared with that of another factory using a fuzzy technique for order preference by similarity to ideal solution. The proposed methodology has been applied to assess the robustness of a wafer fabrication factory in Taiwan to the COVID-19 pandemic.

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A FAHP-FTOPSIS approach for bioprinter selection

Cited by 11 publications

References 26 publications

Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Analyzing the Impact of Vaccine Availability on Alternative Supplier Selection Amid the COVID-19 Pandemic: A cFGM-FTOPSIS-FWI Approach

Comparing Built-in Power Banks for a Smart Backpack Design Using an Auto-Weighting Fuzzy-Weighted-Intersection FAHP Approach

Assessing the Robustness of a Factory Amid the COVID-19 Pandemic: A Fuzzy Collaborative Intelligence Approach

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