A New Hybrid Fuzzy Multi-Criteria Decision Methodology for Prioritizing the Antivirus Mask Over COVID-19 Pandemic

Kaya, Sema Kayapınar; Pamučar, Dragan; Ayçın, Ejder

doi:10.15388/22-infor475

Cited by 14 publications

(3 citation statements)

References 53 publications

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“…The multi-criteria group decision-making (MCGDM) approach is one of the appropriate ways to solve complex management and engineering problems (Zavadskas et al, 2019(Zavadskas et al, , 2021Mohammadian et al, 2021;Kaya et al, 2022;Krishankumar et al, 2022), e.g. the selection of a suitable transportation mode.…”

Section: Introductionmentioning

confidence: 99%

Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty

Salimian¹,

Mousavi²,

Turskis³

2023

Informatica

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This study introduces a new multi-criteria group decision-making model in organ transplant transportation networks under uncertain situations. A new combined weighting approach is presented to obtain expert weights with various kinds of opinions by integrating similarity measure and subjective judgments of experts. Also, the CRITIC approach is given to obtain transportation criteria weights. Finally, a novel integrated ranking approach is proposed to calculate the rank of each alternative based on ideal point solution and relative preference relation (RPR) methods. This study regards an interval-valued intuitionistic fuzzy set to cope with the vagueness of uncertain conditions in a real case study.

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Section: Introductionmentioning

confidence: 99%

Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty

Salimian¹,

Mousavi²,

Turskis³

2023

Informatica

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“…Aggregation operators or functions can eliminate some of the disadvantages of MCDM methods and thus contribute to more practical and effective usage of these methods. Recently, the use of the Einstein function (Rani and Mishra 2021), the Dombi function (Yaran Ögel et al 2022), the Hamacher function (Faizi et al 2021), the Bonferroni function (Böyükaslan and Ecer 2021), and the Heronian function (Kayapinar Kaya et al 2022) with various MCDM methods have received increasing attention. One of the significant criticisms of FBWM and FMARCOS is that they neglect the interrelationships and interplay between attributes.…”

Section: Novelties Of the Researchmentioning

confidence: 99%

A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye

Ecer,

Murat,

Dinçer

et al. 2024

Financ Innov

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Crypto assets have become increasingly popular in recent years due to their many advantages, such as low transaction costs and investment opportunities. The performance of crypto exchanges is an essential factor in developing crypto assets. Therefore, it is necessary to take adequate measures regarding the reliability, speed, user-friendliness, regulation, and supervision of crypto exchanges. However, each measure to be taken creates extra costs for businesses. Studies are needed to determine the factors that most affect the performance of crypto exchanges. This study develops an integrated framework, i.e., fuzzy best–worst method with the Heronian function—the fuzzy measurement of alternatives and ranking according to compromise solution with the Heronian function (FBWM’H–FMARCOS’H), to evaluate cryptocurrency exchanges. In this framework, the fuzzy best–worst method (FBWM) is used to decide the criteria’s importance, fuzzy measurement of alternatives and ranking according to compromise solution (FMARCOS) is used to prioritize the alternatives, and the Heronian function is used to aggregate the results. Integrating a modified FBWM and FMARCOS with Heronian functions is particularly appealing for group decision-making under vagueness. Through case studies, some well-known cryptocurrency exchanges operating in Türkiye are assessed based on seven critical factors in the cryptocurrency exchange evaluation process. The main contribution of this study is generating new priority strategies to increase the performance of crypto exchanges with a novel decision-making methodology. “Perception of security,” “reputation,” and “commission rate” are found as the foremost factors in choosing an appropriate cryptocurrency exchange for investment. Further, the best score is achieved by Coinbase, followed by Binance. The solidity and flexibility of the methodology are also supported by sensitivity and comparative analyses. The findings may pave the way for investors to take appropriate actions without incurring high costs.

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“…Overall, SSCM reduces the supply chain activities damaging influences and helps organizations to establish a competitive advantage [20] and pursue their long-term sustainable development goals. SSCM also has implications for promoting efficiency in firms [21], [22]. SSCM is gradually becoming an integral part of organizations with society and governments asking them to involve sustainability considerations in different parts of their operations [6].…”

Section: A Sustainable Supply Chain Managementmentioning

confidence: 99%

An Integrated Approach for Assessing Suppliers Considering Economic Sustainability Innovation

et al. 2023

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Innovation plays a key role for improving the sustainability performance of corporations. A truly sustainable innovative firm needs to take the social, environmental, and economic aspects of sustainable innovation into consideration. However, limited studies have investigated the economic aspect of sustainable innovation, especially in the context of supplier evaluation from emerging economies. To deal with this issue, this manuscript puts forward a criteria decision framework for evaluating economic sustainable innovative suppliers.A new methodology based on fuzzy Full Consistency Method (FFUCOM) and Improved Combinative Distancebased Assessment (ICODAS) is developed and extended using interval rough Dombi-Bonferroni operators. In the developed approach, the FFUCOM is employed to determine the criteria weights, and the ICODAS is responsible for assessing and ranking the suppliers. A case study from the manufacturing sector of an emerging economy is considered for validating the developed framework and decision model. The findings introduce the "financial resumption of products" as the most critical economic innovation criterion for evaluating suppliers. This article significantly helps decision-makers and practitioners to better comprehend the underpinnings of sustainable innovation economic dimension, particularly when assessing their suppliers. Furthermore, the applicability and validity of the proposed model was confirmed by the results of sensitivity analysis. Findings demonstrated that the proposed method is a solid and useful MCDM framework, and its outputs are precise and acceptable.INDEX TERMS Sustainable innovation; sustainable supply chain management; supplier evaluation and selection; full consistency method (FUCOM); combinative distance-based assessment (CODAS).

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A New Hybrid Fuzzy Multi-Criteria Decision Methodology for Prioritizing the Antivirus Mask Over COVID-19 Pandemic

Cited by 14 publications

References 53 publications

Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty

Transportation Mode Selection for Organ Transplant Networks by a New Multi-Criteria Group Decision Model Under Interval-Valued Intuitionistic Fuzzy Uncertainty

A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye

An Integrated Approach for Assessing Suppliers Considering Economic Sustainability Innovation

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