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A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments
Abstract The Multiple Criteria Decision Making (MCDM) utility determining approaches and
fuzzy sets are considered to be new development approaches, which have been recently …
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
decision making. The most frequently applied multi-attribute decision-making weighting …