Abdalla MEM, Uzair A, Ishtiaq A, Tahir M, Kamran M. Algebraic structures and practical implications of interval-valued Fermatean neutrosophic super HyperSoft sets in healthcare. Spect Oper Res. 2025;2(1):199–218. https://doi.org/10.31181/sor21202523.
Ali A, Ullah K, Hussain A. An approach to multi-attribute decision-making based on intuitionistic fuzzy soft information and Aczel-Alsina operational laws. J Decis Anal Int Comp. 2023;3(1):80–9. https://doi.org/10.31181/jdaic10006062023a.
Almutairi K, Dehshiri SSH, Dehshiri SJH, Mostafaeipour A, Issakhov A, Techato K. A thorough investigation for development of hydrogen projects from wind energy: a case study. Int J Hydrogen Energy. 2021;46:18795–815.
Alrasheedi AF, Mishra AR, Pamucar D, Devi S, Cavallaro F. Interval-valued intuitionistic fuzzy AROMAN method and its application in sustainable wastewater treatment technology selection. J Intell Fuzzy Syst. 2024;46(3):7199–222.
Aragonés-Beltrán P, Chaparro-González F, Pastor-Ferrando J-P, Pla-Rubio A. An AHP (analytic hierarchy process)/ANP (analytic network process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects. Energy. 2014;66:222–38.
Ashraf S, Akram M, Jana C, Jin L, Pamucar D. Multi-criteria assessment of climate change due to greenhouse effect based on Sugeno Weber model under spherical fuzzy Z-numbers. Inform Sci. 2024; 666. https://doi.org/10.1016/j.ins.2024.120428.
Ashraf S, Iqbal W, Ahmad S, Khan K. Circular spherical fuzzy Sugeno Weber aggregation operators: a novel uncertain approach for adaption a programming language for social media platform. IEEE Access. 2023;11:124920–41.
Asif M, Ishtiaq U, Argyros IK. Hamacher aggregation operators for Pythagorean fuzzy set and its application in multi-attribute decision-making problem. Spec Oper Res. 2025;2(1):27–40. https://doi.org/10.31181/sor2120258.
Atanassov KT. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986;20:87–96.
Atchuthen MTJ, Kumar SSM. How the energy sector is affecting economic growth – comparing the United Kingdom with India. Int J Econ Sci. 2023;12(1):1–14. https://doi.org/10.52950/ES.2023.12.1.001.
Balo F, Sagbansua L. The selection of the best solar panel for the photovoltaic system design by using AHP. Energy Procedia. 2016;100(2016):50–3.
Barokab OM, Khan A, Khan SA, Jun YB, Rushdi AMA. University’s recruitment process using Fermatean fuzzy Einstein prioritized aggregation operators. J Intell Fuzzy Syst. 2023;45(3):3985–4008.
Baydaş M, Kavacık M, Wang Z. Interpreting the determinants of sensitivity in MCDM methods with a new perspective: an application on E-scooter selection with the PROBID method. Spectr Eng Manag Sci. 2024;2(1):17–35. https://doi.org/10.31181/sems2120242b.
Bošković S, Švadlenka L, Dobrodolac M, Jovčić S, Zanne M. An extended AROMAN method for cargo bike delivery concept selection. Decis Mak Adv. 2023b;1(1):1–9.
Bošković S, Švadlenka L, Jovčić S, Dobrodolac M, Simić V, Bacanin N. An alternative ranking order method accounting for two-step normalization (AROMAN)- a case study of the electric vehicle selection problem. IEEE Access. 2023a;11:39496–507.
Bozanic D, Epler I, Puska A, Biswas S, Marinkovic D, Koprivica S. Application of the DIBR II – rough MABAC decision-making model for ranking methods and techniques of lean organization systems management in the process of technical maintenance. Facta Univ Ser Mech Eng. 2024;22(1):101–23. https://doi.org/10.22190/FUME230614026B.
Cavallaro F. Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Appl Energy. 2010;87:496–503.
Chakraborty J, Mukherjee S, Sahoo L. An alternative approach for enhanced decision-making using Fermatean fuzzy sets. Spectr Eng Manag Sci. 2024;2(1):135–50. https://doi.org/10.31181/sems21202411j.
Čubranić-Dobrodolac M, Jovčić S, Bošković S, Babić D. A decision-making model for professional drivers selection: a hybridized fuzzy–AROMAN–fuller approach. Mathematics. 2023;11(13):2831. https://doi.org/10.3390/math11132831.
Dehshiri SJH, Amiri M, Mostafaeipour A, Te L. Integrating blockchain and strategic alliance in renewable energy supply chain toward sustainability: a comparative decision framework under uncertainty. Energy. 2024;304:132136. https://doi.org/10.1016/j.energy.2024.132136.
Deng Z, Wang J. New distance measure for Fermatean fuzzy sets and its application. Int J Intell Syst. 2022;37:1903–30.
Deveci M, Mishra AR, Rani P, Gokasar I, Isik M, Delen D, Ooi K-B, Daim T. Evaluation of intelligent transportation system implementation alternatives in metaverse using a Fermatean fuzzy distance measure-based OCRA model. Inf Sci. 2024;657:120008. https://doi.org/10.1016/j.ins.2023.120008.
Dinçer H, Yüksel S, Eti S. Identifying the right policies for increasing the efficiency of the renewable energy transition with a novel fuzzy decision-making model. J Soft Comput Decis Anal. 2023;1(1):50–62. https://doi.org/10.31181/jscda1120234.
Ganie AH, Gheith NEM, Al-Qudah Y, Ganie AH, Sharma SK, Aqlan AM, Khalaf MM. An innovative fermatean fuzzy distance metric with its application in classification and bidirectional approximate reasoning. IEEE Access. 2023;12:4780–91.
Gitinavard H. Strategic evaluation of sustainable projects based on hybrid group decision analysis with incomplete information. J Qual Eng Prod Optim. 2019;4(2):17–30.
Gitinavard H, Mousavi SM, Vahdani B, Siadat A. A new distance-based decision model in interval-valued hesitant fuzzy setting for industrial selection problems. Sci Iran. 2016;23(4):1928–40.
Gitinavard H, Pishvaee MS, Jalalvand F. A hierarchical multi-criteria group decision-making method based on TOPSIS and hesitant fuzzy information. Int J Appl Decis Sci. 2017;10(3):213–32.
Golui S, Mahapatra BS, Mahapatra GS. A new correlation-based measure on Fermatean fuzzy applied on multi-criteria decision making for electric vehicle selection. Exp Syst Appl. 2024;237:121605. https://doi.org/10.1016/j.eswa.2023.121605.
Hussain A, Ullah K. An intelligent decision support system for spherical fuzzy Sugeno-Weber aggregation operators and real-life applications. Spect Mech Eng Oper Res. 2024;1(1):177–88. https://doi.org/10.31181/smeor11202415.
Kara K, Yalçın GC, Acar AZ, Simic V, Konya S, Pamucar D. The MEREC-AROMAN method for determining sustainable competitiveness levels: a case study for Turkey. Socioecon Plann Sci. 2024;91:101762. https://doi.org/10.1016/j.seps.2023.101762.
Kauers M, Pillwein V, Saminger-Platz S. Dominance in the family of Sugeno-Weber t-norms. Fuzzy Sets Syst. 2011;181(1):74–87.
Article MathSciNet Google Scholar
Keshavarz-Ghorabaee M, Amiri M, Hashemi-Tabatabaei M, Zavadskas EK, Kaklauskas A. A new decision-making approach based on fermatean fuzzy sets and WASPAS for green construction supplier evaluation. Mathematics. 2020;8(12):01–24.
Kirişci M. New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach. Knowl Inf Syst. 2023;65:855–68.
Kumar N, Mahanta J. A matrix norm-based Pythagorean fuzzy metric and its application in MEREC-SWARA-VIKOR framework for solar panel selection. Appl Soft Comput. 2024;158:111592. https://doi.org/10.1016/j.asoc.2024.111592.
Kumar R. A comprehensive review of MCDM methods, applications, and emerging trends. Decis Mak Adv. 2025;3(1):185–99. https://doi.org/10.31181/dma31202569.
Kumar R, Pamucar D. A comprehensive and systematic review of multi-criteria decision-making (MCDM) methods to solve decision-making problems: two decades from 2004 to 2024. Spect Decis Mak Appl. 2025;2(1):178–97. https://doi.org/10.31181/sdmap21202524.
Liu Z. A distance measure of Fermatean fuzzy sets based on triangular divergence and its application in medical diagnosis. J Oper Intell. 2024;2(1):167–78. https://doi.org/10.31181/jopi21202415.
Liu Z. A distance measure of Fermatean fuzzy sets based on triangular divergence and its application in medical diagnosis. J Oper Intell. 2024a;2:167–78.
Liu Z. Fermatean fuzzy similarity measures based on Tanimoto and Sørensen coefficients with applications to pattern classification, medical diagnosis and clustering analysis. Eng Appl Artif Intell. 2024b;132:107878. https://doi.org/10.1016/j.engappai.2024.107878.
Lv Y. Transitioning to sustainable energy: opportunities, challenges, and the potential of blockchain technology. Front Energ Res. 2023;11:1258044. https://doi.org/10.3389/fenrg.2023.1258044.
Majd SS, Maleki A, Basirat S, Golkarfard A. Fermatean fuzzy TOPSIS method and its application in ranking business intelligence-based strategies in smart city context. J Oper Intell. 2025;3(1):1–16. https://doi.org/10.31181/jopi31202532.
Mishra AR, Rani P, Pamucar D, Alrasheedi AF, Simic V. An integrated picture fuzzy standard deviation and pivot pairwise assessment method for assessing the drivers of digital transformation in higher education institutions. Eng Appl Artif Intell. 2024;133:108508. https://doi.org/10.1016/j.engappai.2024.108508.
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