A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments

A Mardani, M Nilashi, N Zakuan, N Loganathan… - Applied soft …, 2017 - Elsevier
Abstract The Multiple Criteria Decision Making (MCDM) utility determining approaches and
fuzzy sets are considered to be new development approaches, which have been recently …

An overview of ARAS method: Theory development, application extension, and future challenge

N Liu, Z Xu - International Journal of Intelligent Systems, 2021 - Wiley Online Library
Multi‐attribute decision‐making (MADM) is one of the most important parts in decision‐
making theory, and related research is becoming more and more popular over the past few …

Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors

A Kumar, V Mani, V Jain, H Gupta… - Computers & Industrial …, 2023 - Elsevier
Healthcare is one of the most critical sectors due to its importance in handling public health.
With the outbreak of various diseases, more recently during Covid-19, this sector has gained …

Critical success factors influencing artificial intelligence adoption in food supply chains

M Dora, A Kumar, SK Mangla, A Pant… - International Journal of …, 2022 - Taylor & Francis
The adoption of Artificial Intelligence (AI) in the food supply chains (FSC) can address
unique challenges of food safety, quality and wastage by improving transparency and …

Determination of best renewable energy sources in India using SWARA-ARAS in confidence level based interval-valued Fermatean fuzzy environment

MR Seikh, P Chatterjee - Applied Soft Computing, 2024 - Elsevier
The requirement for renewable energy sources arises from the depletion of fossil fuels and
the increasing energy demand. A case study in India has been conducted in this context to …

Some new operations over Fermatean fuzzy numbers and application of Fermatean fuzzy WPM in multiple criteria decision making

T Senapati, RR Yager - Informatica, 2019 - content.iospress.com
Fermatean fuzzy sets (FFSs), proposed by Senapati and Yager (2019a), can handle
uncertain information more easily in the process of decision making. They defined basic …

[HTML][HTML] A bipolar neutrosophic multi criteria decision making framework for professional selection

M Abdel-Basset, A Gamal, LH Son, F Smarandache - Applied Sciences, 2020 - mdpi.com
Professional selection is a significant task for any organization that aims to select the most
appropriate candidates to fill well-defined vacancies up. In the recruitment process, various …

A novel pythagorean fuzzy multi-criteria decision-making methodology for e-scooter charging station location-selection

E Ayyildiz - Transportation Research Part D: Transport and …, 2022 - Elsevier
This study focuses on how to determine the location of electric scooter (e-scooter) charging
stations. In the station location determination problem, the sustainability perspective, which …

Evaluation of the critical success factors of dynamic enterprise risk management in manufacturing SMEs using an integrated fuzzy decision-making model

D Zhu, Z Li, AR Mishra - Technological Forecasting and Social Change, 2023 - Elsevier
To succeed, a firm essentially needs to take the right amount of risk. Thus, the great
significance of risk management has attracted many researchers to focus on how to …

An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process

S Hashemkhani Zolfani, M Yazdani, EK Zavadskas - Soft Computing, 2018 - Springer
The process of criteria prioritization and weighting is an important part of multiple attributes
decision making. The most frequently applied multi-attribute decision-making weighting …