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

Wu, Hsin-Chieh; Chen, Tin Chih Toly; Huang, Chin Hau; Shih, Yun Cian

doi:10.3390/math8101759

Cited by 16 publications

(6 citation statements)

References 57 publications

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Mentioning

Contrasting

Order By: Relevance

“…However, such enumeration-based techniques are time-consuming. To tackle this difficulty, FGM is commonly applied to approximate the values of

and

with TFNs [ 19 , 20 , 21 ].…”

Section: The Fuzzy Collaborative Intelligence Approachmentioning

confidence: 99%

“…The proposed methodology consists of three main parts. The first part is the calibrated fuzzy geometric mean (cFGM) method, which is a modification of the prevalent fuzzy geometric mean (FGM) method [ 19 , 20 , 21 ], for deriving the priorities of criteria, which are essential for selecting a suitable alternative supplier. The traditional FGM method is not accurate enough.…”

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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“…However, such enumeration-based techniques are time-consuming. To tackle this difficulty, FGM is commonly applied to approximate the values of

and

with TFNs [ 19 , 20 , 21 ].…”

Section: The Fuzzy Collaborative Intelligence Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…In this situation, the partial consensus among some experts, modelled by the FI result of these experts' fuzzy yield forecasts, is sought instead. To generate a set containing values that are considered possible by all experts, the union of the partial-consensus FI results can be formed using the PCFI operator [42]:…”

Section: Problemmentioning

confidence: 99%

“…The existing aggregation methods do not discriminate experts' authority levels. If experts have unequal authority levels, aggregating their fuzzy yield forecasts using the FWI operator [42] can generate more acceptable results:…”

Section: Max Max( ({ ( )})) Min( ({ ( )})) Max( ({ ( )})) Min( ({ ( )}))mentioning

confidence: 99%

An Auto-Weighting Aggregative Fuzzy Collaborative Intelligence Approach for DRAM Yield Forecasting

Wu¹,

Chen²

2021

Preprint

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In a collaborative forecasting task, experts may have unequal authority levels. However, this has rarely been considered reasonably in the existing fuzzy collaborative forecasting methods. In addition, experts may not be willing to discriminate their authority levels. To address these issues, an auto-weighting fuzzy weighted intersection (FWI) fuzzy collaborative intelligence approach is proposed in this study. In the proposed auto-weighting FWI fuzzy collaborative intelligence approach, experts’ authority levels are automatically and reasonably assigned based on their past forecasting performances. Subsequently, the auto-weighting FWI mechanism is established to aggregate experts’ fuzzy forecasts. The theoretical properties of the auto-weighting FWI mechanism have been discussed and compared with those of the existing fuzzy aggregation operators. After applying the auto-weighting FWI fuzzy collaborative intelligence approach to a case of forecasting the yield of a DRAM product from the literature, its advantages over several existing methods were clearly illustrated.

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Deriving the Priorities of Criteria

Chen

2021

Advances in Fuzzy Group Decision Making

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

Cited by 16 publications

References 57 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

An Auto-Weighting Aggregative Fuzzy Collaborative Intelligence Approach for DRAM Yield Forecasting

Deriving the Priorities of Criteria

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