New complex proportional assessment approach using Einstein aggregation operators and improved score function for interval-valued Fermatean fuzzy sets
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 …
set (IVFFS) is a more robust and reliable tool to address the imprecise and incomplete …
[HTML][HTML] Interval-valued fermatean fuzzy sets with multi-criteria weighted aggregated sum product assessment-based decision analysis framework
Fermatean fuzzy set, a generalization of the fuzzy set, is a significant way to tackle the
complex uncertain information that arises in decision-analysis procedure and thus can be …
complex uncertain information that arises in decision-analysis procedure and thus can be …
Multicriteria decision making based on novel score function of Fermatean fuzzy numbers, the CRITIC method, and the GLDS method
In this paper, we propose a new score function of Fermatean fuzzy numbers (FFNs). The
proposed score function of FFNs can conquer the drawbacks of the existing score function of …
proposed score function of FFNs can conquer the drawbacks of the existing score function of …
Ordering of interval-valued Fermatean fuzzy sets and its applications
S Jeevaraj - Expert Systems with Applications, 2021 - Elsevier
Fermatean fuzzy sets (FFSs) introduced by Senapati and Yager (2019) can handle the
problems with imprecise and incomplete information more effectively than that of …
problems with imprecise and incomplete information more effectively than that of …
[HTML][HTML] Low-carbon tourism strategy evaluation and selection using interval-valued intuitionistic fuzzy additive ratio assessment approach based on similarity …
AR Mishra, A Chandel, P Saeidi - Environment, Development and …, 2022 - Springer
Recently, the assessment and selection of most suitable low-carbon tourism strategy has
gained an extensive consideration from sustainable perspectives. Owing to participation of …
gained an extensive consideration from sustainable perspectives. Owing to participation of …
[HTML][HTML] Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source …
Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-
making (MCDM) problem due to the association of diverse conflicting criteria with uncertain …
making (MCDM) problem due to the association of diverse conflicting criteria with uncertain …
[HTML][HTML] Interval-valued Fermatean fuzzy heronian mean operator-based decision-making method for urban climate change policy for transportation activities
Climate change affects the world. Due to excessive GHG emissions, urban transportation
contributes to this threat. Policymakers and authorities want to reduce transportation-related …
contributes to this threat. Policymakers and authorities want to reduce transportation-related …
Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID‐19 testing laboratory selection problem
S Gül - Expert Systems, 2021 - Wiley Online Library
The multiple attribute decision‐making models are empowered with the support of fuzzy sets
such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also …
such as intuitionistic, q‐rung orthopair, Pythagorean, and picture fuzzy sets, and also …
Fermatean fuzzy Heronian mean operators and MEREC‐based additive ratio assessment method: An application to food waste treatment technology selection
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 …
complete information, imprecise data, and the vagueness of decision making experts in …
Multiple‐Attribute Decision‐Making Using Fermatean Fuzzy Hamacher Interactive Geometric Operators
G Shahzadi, F Zafar… - Mathematical Problems in …, 2021 - Wiley Online Library
Fermatean fuzzy set (FFS) is a more efficient, flexible, and generalized model to deal with
uncertainty, as compared to intuitionistic and Pythagorean fuzzy models. This research …
uncertainty, as compared to intuitionistic and Pythagorean fuzzy models. This research …