Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection

P Rani, AR Mishra - Expert Systems with Applications, 2021 - Elsevier
The optimal location of electric vehicle charging station (EVCS) will promote the rapid
development of the electric vehicle (EV) industry. Generally, EVCS location selection is …

A novel multi-criteria decision-making method for selecting the site of an electric-vehicle charging station from a sustainable perspective

J Feng, SX Xu, M Li - Sustainable Cities and Society, 2021 - Elsevier
An integrated multi-criteria decision-making (MCDM) method is developed through the
linguistic entropy weight (LEW) method and fuzzy axiomatic design (FAD) to select a …

Electric bus charging station site selection based on the combined DEMATEL and PROMETHEE-PT framework

X Sang, X Yu, CT Chang, X Liu - Computers & Industrial Engineering, 2022 - Elsevier
Electric buses (EBs) are one of the most promising transportation modes to reduce air
pollution and greenhouse gas emissions. With the promotion of EBs, the selection of EBs …

Single‐valued neutrosophic similarity measure‐based additive ratio assessment framework for optimal site selection of electric vehicle charging station

AR Mishra, P Rani, A Saha - International journal of intelligent …, 2021 - Wiley Online Library
Sustainable site selection for electric vehicle charging station (EVCS) is a significant process
in the promotion of electric vehicle system development. The assessment and selection of …

A large scale group three-way decision-based consensus model for site selection of new energy vehicle charging stations

YM Wang, SF He, DG Zamora, XH Pan… - Expert Systems with …, 2023 - Elsevier
Abstract The development of New Energy Vehicles (NEVs) has contributed to the alleviation
of environmental pollution in the transportation sector. Although NEVs have some …

Assessment of Biofuel industry sustainability factors based on the intuitionistic fuzzy symmetry point of criterion and rank-sum-based MAIRCA Method

IM Hezam, NRD Vedala, BR Kumar, AR Mishra… - Sustainability, 2023 - mdpi.com
Biofuel production from biomass resources can significantly contribute to greenhouse gas
mitigation and clean energy generation. This paper aims to develop a new decision analysis …

A probabilistic interval-valued hesitant fuzzy gained and lost dominance score method based on regret theory

W Liang, YM Wang - Computers & Industrial Engineering, 2021 - Elsevier
With the increasing complexity of the decision environment, the fuzzy theory has attracted
the extensive attention of scholars. Probabilistic interval-valued hesitant fuzzy set, as a …

A case-driven emergency decision-making model based on probabilistic linguistic bidirectional projection

J Zheng, YM Wang, K Zhang - Computers & Industrial Engineering, 2024 - Elsevier
Historical cases have been accumulated to use the problem-solving experiences of similar
types of historical cases to solve current problems. The existing studies has shown its …

Customer-oriented product and service design by a novel quality function deployment framework with complex linguistic evaluations

X Wu, H Liao - Information Processing & Management, 2021 - Elsevier
Quality function deployment (QFD), as a widely-used quality management method, can
effectively capture customers' preferences of products and services by involving lots of …

Failure mode and effect analysis based on probabilistic linguistic preference relations and gained and lost dominance score method

Z Liu, X Mou, HC Liu, L Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Failure mode and effect analysis (FMEA) is a widely used reliability management technology
to evaluate the risk of potential failures in a system, product, or service. Nevertheless, the …