A new correlation-based measure on Fermatean fuzzy applied on multi-criteria decision making for electric vehicle selection

Golui, Soumendu; Mahapatra, Biplab Sinha; Mahapatra, Ghanshaym Singha

doi:10.1016/j.eswa.2023.121605

Cited by 23 publications

(1 citation statement)

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“…This has been confirmed by [2] where more than 20% of the world's CO2 emissions come from the transportation sector. [3] stated that fossil fuels like petroleum and diesel, whose burning produces carbon dioxide and other greenhouse gases, are largely used in transportation. As well [4] indicated that India's swift industrialization and commercialization will increase the country's need for transportation, which would increase the demand for vehicles.…”

Section: Introductionmentioning

confidence: 99%

BV2TrS Appraiser Model: Enforcing BHARAT Version2 in Tree Soft Modelling for Appraising E-Mobility Hurdles

Mohamed,

Smarandache,

Voskoglou

2024

Neutrosophic syst. appl.

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Electric vehicles (EVs) are being introduced to lessen greenhouse gas (GHG) emissions, air pollution, and reliance on fossil fuels. As a result of the government's aggressive promotion of EVs and rising environmental consciousness, EVs are quickly rising to the top of the low-carbon transportation market. Several viewpoints suggested that shifting to electric vehicles has been seen as a potential way to achieve sustainable mobility. Nevertheless, many studies discussed the obstacles and hurdles that obstruct the embracing of various electric-mobility (E-mobility) as EVs and electric-scooters (E-scooters) as eco-friendly means. Herein, we discussed these hurdles and determined them through surveys for prior studies. Therefore, appraising these hurdles is the objective of our study. Best Holistic Adaptable Ranking of Attributes Technique – version 2 (BHARAT -v2) as a novel Multi-Criteria Decision Making (MCDM) technique is leveraged as an appraiser technique for these hurdles. Tree Soft (TrS) methodology is utilized for modeling these hurdles. Hence, we hybridized and integrated two methodologies for constructing BHARAT v2 Tree Soft (Bv2TrS) as an appraiser model. Subsequently, we discussed the findings of the Bv2TrS appraiser model.

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Section: Introductionmentioning

confidence: 99%