Pythagorean fuzzy TOPSIS method for green supplier selection in the food industry

M Hajiaghaei-Keshteli, Z Cenk, B Erdebilli… - Expert Systems with …, 2023 - Elsevier
As resources have been reduced and competition has increased, making ecologically
responsible decisions has become increasingly important. For that reason, businesses …

An integrated GIS, MIF, and TOPSIS approach for appraising electric vehicle charging station suitability zones in Mumbai, India

NL Rane, A Achari, A Saha, I Poddar, J Rane… - Sustainable Cities and …, 2023 - Elsevier
Fossil fuels cause air pollution and climate change, impacting human health. Mumbai
imports and spends heavily on petroleum. Therefore, to reduce the amount of fossil fuel and …

Decision making framework based Fermatean fuzzy integrated weighted distance and TOPSIS for green low-carbon port evaluation

S Yang, Y Pan, S Zeng - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Green low-carbon port (GLCP) development and evaluation have gained increase attention
in recent years. However, the uncertain assessment procedure and complex index in the …

Big data analytics challenges to implementing the intelligent Industrial Internet of Things (IIoT) systems in sustainable manufacturing operations

Q Qi, Z Xu, P Rani - Technological Forecasting and Social Change, 2023 - Elsevier
The overlap of the growth of big data with that of the Internet of Things (IoT) is well reflected
by the dramatic surge in the use of devices connected to IoT and the exponential rise in data …

Fermatean fuzzy Heronian mean operators and MEREC‐based additive ratio assessment method: An application to food waste treatment technology selection

P Rani, AR Mishra, A Saha, IM Hezam… - … Journal of Intelligent …, 2022 - Wiley Online Library
Uncertainty is often occurred in real‐life decision‐making problems due to the lack of
complete information, imprecise data, and the vagueness of decision making experts in …

MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center

Y Rong, L Yu, W Niu, Y Liu, T Senapati… - … Applications of Artificial …, 2022 - Elsevier
The evaluation and selection of cold chain logistics distribution center (CCLDC) possesses
important strategic significance for enterprises to optimize logistics network. This paper firstly …

Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach

A Saha, D Pamucar, OF Gorcun, AR Mishra - Expert Systems with …, 2023 - Elsevier
The automotive industry is one of the most competitive sectors, and it requires a well-
structured logistics system to meet the industry'vital requirements such as just-in-time, lean …

Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model

M Deveci, I Gokasar, AR Mishra, P Rani, Z Ye - Engineering applications of …, 2023 - Elsevier
Climate change has become one of the most significant threats that all countries face. The
extent of the effects of climate change will increase if the pace is not altered. Transportation …

New complex proportional assessment approach using Einstein aggregation operators and improved score function for interval-valued Fermatean fuzzy sets

P Rani, AR Mishra, M Deveci… - Computers & industrial …, 2022 - Elsevier
As a generalization of the Fermatean fuzzy set, the theory of interval-valued Fermatean fuzzy
set (IVFFS) is a more robust and reliable tool to address the imprecise and incomplete …

Location selection of electric vehicles charging stations by using the spherical fuzzy CPT–CoCoSo and D-CRITIC method

H Zhang, G Wei - Computational and Applied Mathematics, 2023 - Springer
Location selection of electric vehicle charging stations (LSEVCS) is a complex multi-attribute
group decision-making (MAGDM) problem involving multiple experts and multiple conflicting …