Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

AR Mishra, P Rani, A Saha, T Senapati… - Complex & Intelligent …, 2022 - Springer
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 …

The novel augmented Fermatean MCDM perspectives for identifying the optimal renewable energy power plant location

S Narayanamoorthy, TN Parthasarathy… - Sustainable Energy …, 2022 - Elsevier
The Fermatean fuzzy set has been authorized as a suitable tool for the uncertainty and
vagueness of information by augmenting the spatial space of acceptance membership and …

Fermatean fuzzy multi-criteria decision-making based on Spearman rank correlation coefficient

M Amman, T Rashid, A Ali - Granular Computing, 2023 - Springer
Real-world decision-making challenges tend to evolve into more intricate scenarios over
time. In this context, the Fermatean fuzzy set emerges as an efficient and convenient …

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 …

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 …

A new correlation-based measure on Fermatean fuzzy applied on multi-criteria decision making for electric vehicle selection

S Golui, BS Mahapatra, GS Mahapatra - Expert systems with applications, 2024 - Elsevier
Purpose: Since the pollution from the transportation sector has become intolerable in urban
areas, many authorities are beginning to ban vehicles powered by fossil fuels. In this …

Multiple criteria decision analysis under complex uncertainty: A Pearson‐like correlation‐based Pythagorean fuzzy compromise approach

TY Chen - International Journal of Intelligent Systems, 2019 - Wiley Online Library
The aim of this article is to develop a novel multiple criteria decision analysis (MCDA)
method using a Pearson‐like correlation‐based Pythagorean fuzzy (PF) compromise …

Interval-valued pythagorean fuzzy similarity measure-based complex proportional assessment method for waste-to-energy technology selection

AR Mishra, D Pamučar, IM Hezam, RK Chakrabortty… - Processes, 2022 - mdpi.com
This study introduces an integrated decision-making methodology to choose the best “waste-
to-energy (WTE)” technology for “municipal solid waste (MSW)” treatment under the “interval …

Novel Fermatean fuzzy Aczel–Alsina model for investment strategy selection

IU Haq, T Shaheen, W Ali, H Toor, T Senapati, F Pilla… - Mathematics, 2023 - mdpi.com
For choosing the optimal option for multiple issues, the multiattribute decision-making
(MADM) technique within a Fermatean fuzzy environment is a well-known and significant …

Scientific decision framework for evaluation of renewable energy sources under q-rung orthopair fuzzy set with partially known weight information

R Krishankumar, KS Ravichandran, S Kar, F Cavallaro… - Sustainability, 2019 - mdpi.com
As an attractive generalization of the intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set
(q-ROFS) provides the decision makers (DMs) with a wide window for preference elicitation …