[HTML][HTML] Sensitivity analysis approaches in multi-criteria decision analysis: A systematic review
J Wiȩckowski, W Sałabun - Applied Soft Computing, 2023 - Elsevier
In the field of Multi-Criteria Decision Analysis (MCDA), the deployment of sensitivity analysis
has become a fundamental approach to testing the robustness and reliability of the results …
has become a fundamental approach to testing the robustness and reliability of the results …
[HTML][HTML] Fermatean fuzzy Archimedean Heronian Mean-Based Model for estimating sustainable urban transport solutions
Public transportation frameworks assume a critical role in the metropolitan region, especially
in huge urban communities, where they offer a feasible answer for easing gridlock …
in huge urban communities, where they offer a feasible answer for easing gridlock …
Fermatean fuzzy sets and its extensions: a systematic literature review
Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in
addressing uncertainty across diverse domains. Despite its recognized utility in managing …
addressing uncertainty across diverse domains. Despite its recognized utility in managing …
[HTML][HTML] An integrated machine learning and MARCOS method for supplier evaluation and selection
A Abdulla, G Baryannis, I Badi - Decision Analytics Journal, 2023 - Elsevier
Evaluating and selecting suitable suppliers involves several criteria, making it a complex
and difficult problem for decision-makers. Several approaches have been developed to help …
and difficult problem for decision-makers. Several approaches have been developed to help …
Entropy for q-rung linear diophantine fuzzy hypersoft set with its application in MADM
A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The
soft set theory was expanded into the hypersoft set theory. By combining both the q-rung …
soft set theory was expanded into the hypersoft set theory. By combining both the q-rung …
Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals
The advanced technologies emerging in Industry 4.0 are forcing companies in different
industries to review their business models and become more compatible with advanced …
industries to review their business models and become more compatible with advanced …
A novel perspective on the selection of an effective approach to reduce road traffic accidents under Fermatean fuzzy settings
D Alghazzawi, A Noor, H Alolaiyan, HAEW Khalifa… - PLoS one, 2024 - journals.plos.org
Road traffic accidents (RTAs) pose a significant hazard to the security of the general public,
especially in developing nations. A daily average of more than three thousand fatalities is …
especially in developing nations. A daily average of more than three thousand fatalities is …
Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative …
In Turkey, the transportation industry's greenhouse gas (GHG) emissions increased by
147.1% between 1990 and 2019. Today, this transportation industry (ie, freight and …
147.1% between 1990 and 2019. Today, this transportation industry (ie, freight and …
An integrated Fine-Kinney risk assessment model utilizing Fermatean fuzzy AHP-WASPAS for occupational hazards in the aquaculture sector
The multidisciplinary field of occupational health and safety (OHS) aims to identify, assess,
and mitigating hazards that arise in the workplace or due to the execution of the work. The …
and mitigating hazards that arise in the workplace or due to the execution of the work. The …
[HTML][HTML] A new sensitivity analysis method for decision-making with multiple parameters modification
J Więckowski, W Sałabun - Information Sciences, 2024 - Elsevier
In today's world, addressing multi-criteria decision problems presents a considerable
challenge due to their inherent complexity. Decision-makers face diverse and often …
challenge due to their inherent complexity. Decision-makers face diverse and often …