{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T04:36:27Z","timestamp":1781325387847,"version":"3.54.1"},"reference-count":78,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T00:00:00Z","timestamp":1747612800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cogn Comput"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s12559-025-10456-8","type":"journal-article","created":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T10:47:56Z","timestamp":1747651676000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Decision-Making-Based Solar Panel Selection: Sugeno-Weber Operators and Fermatean Fuzzy Distance Measure with AROMAN Methodology"],"prefix":"10.1007","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9186-4167","authenticated-orcid":false,"given":"Pratibha","family":"Rani","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9949-5813","authenticated-orcid":false,"given":"Arunodaya Raj","family":"Mishra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5084-0871","authenticated-orcid":false,"given":"Dragan","family":"Pamucar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7103-8872","authenticated-orcid":false,"given":"Ahmad M.","family":"Alshamrani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4492-1082","authenticated-orcid":false,"given":"Adel Fahad","family":"Alrasheedi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7842-8902","authenticated-orcid":false,"given":"Vladimir","family":"Simic","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,19]]},"reference":[{"issue":"1","key":"10456_CR1","doi-asserted-by":"publisher","first-page":"199","DOI":"10.31181\/sor21202523","volume":"2","author":"MEM Abdalla","year":"2025","unstructured":"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\u2013218. https:\/\/doi.org\/10.31181\/sor21202523.","journal-title":"Spect Oper Res."},{"issue":"1","key":"10456_CR2","doi-asserted-by":"publisher","first-page":"80","DOI":"10.31181\/jdaic10006062023a","volume":"3","author":"A Ali","year":"2023","unstructured":"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\u20139. https:\/\/doi.org\/10.31181\/jdaic10006062023a.","journal-title":"J Decis Anal Int Comp."},{"key":"10456_CR3","doi-asserted-by":"publisher","first-page":"18795","DOI":"10.1016\/j.ijhydene.2021.03.061","volume":"46","author":"K Almutairi","year":"2021","unstructured":"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\u2013815.","journal-title":"Int J Hydrogen Energy"},{"issue":"3","key":"10456_CR4","first-page":"7199","volume":"46","author":"AF Alrasheedi","year":"2024","unstructured":"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\u2013222.","journal-title":"J Intell Fuzzy Syst"},{"key":"10456_CR5","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.energy.2013.12.016","volume":"66","author":"P Aragon\u00e9s-Beltr\u00e1n","year":"2014","unstructured":"Aragon\u00e9s-Beltr\u00e1n P, Chaparro-Gonz\u00e1lez 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\u201338.","journal-title":"Energy"},{"key":"10456_CR6","doi-asserted-by":"publisher","unstructured":"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.","DOI":"10.1016\/j.ins.2024.120428"},{"key":"10456_CR7","doi-asserted-by":"publisher","first-page":"124920","DOI":"10.1109\/ACCESS.2023.3329242","volume":"11","author":"S Ashraf","year":"2023","unstructured":"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\u201341.","journal-title":"IEEE Access"},{"issue":"1","key":"10456_CR8","doi-asserted-by":"publisher","first-page":"27","DOI":"10.31181\/sor2120258","volume":"2","author":"M Asif","year":"2025","unstructured":"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\u201340. https:\/\/doi.org\/10.31181\/sor2120258.","journal-title":"Spec Oper Res"},{"key":"10456_CR9","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"KT Atanassov","year":"1986","unstructured":"Atanassov KT. Intuitionistic fuzzy sets. Fuzzy Sets Syst. 1986;20:87\u201396.","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"10456_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.52950\/ES.2023.12.1.001","volume":"12","author":"MTJ Atchuthen","year":"2023","unstructured":"Atchuthen MTJ, Kumar SSM. How the energy sector is affecting economic growth \u2013 comparing the United Kingdom with India. Int J Econ Sci. 2023;12(1):1\u201314. https:\/\/doi.org\/10.52950\/ES.2023.12.1.001.","journal-title":"Int J Econ Sci."},{"issue":"2016","key":"10456_CR11","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.egypro.2016.10.151","volume":"100","author":"F Balo","year":"2016","unstructured":"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\u20133.","journal-title":"Energy Procedia"},{"issue":"3","key":"10456_CR12","first-page":"3985","volume":"45","author":"OM Barokab","year":"2023","unstructured":"Barokab OM, Khan A, Khan SA, Jun YB, Rushdi AMA. University\u2019s recruitment process using Fermatean fuzzy Einstein prioritized aggregation operators. J Intell Fuzzy Syst. 2023;45(3):3985\u20134008.","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"10456_CR13","doi-asserted-by":"publisher","first-page":"17","DOI":"10.31181\/sems2120242b","volume":"2","author":"M Bayda\u015f","year":"2024","unstructured":"Bayda\u015f M, Kavac\u0131k 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\u201335. https:\/\/doi.org\/10.31181\/sems2120242b.","journal-title":"Spectr Eng Manag Sci."},{"issue":"1","key":"10456_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.31181\/v120231","volume":"1","author":"S Bo\u0161kovi\u0107","year":"2023","unstructured":"Bo\u0161kovi\u0107 S, \u0160vadlenka L, Dobrodolac M, Jov\u010di\u0107 S, Zanne M. An extended AROMAN method for cargo bike delivery concept selection. Decis Mak Adv. 2023b;1(1):1\u20139.","journal-title":"Decis Mak Adv"},{"key":"10456_CR15","doi-asserted-by":"publisher","first-page":"39496","DOI":"10.1109\/ACCESS.2023.3265818","volume":"11","author":"S Bo\u0161kovi\u0107","year":"2023","unstructured":"Bo\u0161kovi\u0107 S, \u0160vadlenka L, Jov\u010di\u0107 S, Dobrodolac M, Simi\u0107 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\u2013507.","journal-title":"IEEE Access"},{"issue":"1","key":"10456_CR16","doi-asserted-by":"publisher","first-page":"101","DOI":"10.22190\/FUME230614026B","volume":"22","author":"D Bozanic","year":"2024","unstructured":"Bozanic D, Epler I, Puska A, Biswas S, Marinkovic D, Koprivica S. Application of the DIBR II \u2013 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\u201323. https:\/\/doi.org\/10.22190\/FUME230614026B.","journal-title":"Facta Univ Ser Mech Eng"},{"key":"10456_CR17","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1016\/j.apenergy.2009.07.009","volume":"87","author":"F Cavallaro","year":"2010","unstructured":"Cavallaro F. Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Appl Energy. 2010;87:496\u2013503.","journal-title":"Appl Energy"},{"issue":"1","key":"10456_CR18","doi-asserted-by":"publisher","first-page":"135","DOI":"10.31181\/sems21202411j","volume":"2","author":"J Chakraborty","year":"2024","unstructured":"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\u201350. https:\/\/doi.org\/10.31181\/sems21202411j.","journal-title":"Spectr Eng Manag Sci"},{"issue":"13","key":"10456_CR19","doi-asserted-by":"publisher","first-page":"2831","DOI":"10.3390\/math11132831","volume":"11","author":"M \u010cubrani\u0107-Dobrodolac","year":"2023","unstructured":"\u010cubrani\u0107-Dobrodolac M, Jov\u010di\u0107 S, Bo\u0161kovi\u0107 S, Babi\u0107 D. A decision-making model for professional drivers selection: a hybridized fuzzy\u2013AROMAN\u2013fuller approach. Mathematics. 2023;11(13):2831. https:\/\/doi.org\/10.3390\/math11132831.","journal-title":"Mathematics"},{"key":"10456_CR20","doi-asserted-by":"publisher","first-page":"132136","DOI":"10.1016\/j.energy.2024.132136","volume":"304","author":"SJH Dehshiri","year":"2024","unstructured":"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.","journal-title":"Energy"},{"key":"10456_CR21","doi-asserted-by":"publisher","first-page":"1903","DOI":"10.1002\/int.22760","volume":"37","author":"Z Deng","year":"2022","unstructured":"Deng Z, Wang J. New distance measure for Fermatean fuzzy sets and its application. Int J Intell Syst. 2022;37:1903\u201330.","journal-title":"Int J Intell Syst"},{"key":"10456_CR22","doi-asserted-by":"publisher","first-page":"120008","DOI":"10.1016\/j.ins.2023.120008","volume":"657","author":"M Deveci","year":"2024","unstructured":"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.","journal-title":"Inf Sci"},{"issue":"1","key":"10456_CR23","doi-asserted-by":"publisher","first-page":"50","DOI":"10.31181\/jscda1120234","volume":"1","author":"H Din\u00e7er","year":"2023","unstructured":"Din\u00e7er H, Y\u00fcksel 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\u201362. https:\/\/doi.org\/10.31181\/jscda1120234.","journal-title":"J Soft Comput Decis Anal."},{"key":"10456_CR24","doi-asserted-by":"publisher","first-page":"4780","DOI":"10.1109\/ACCESS.2023.3348780","volume":"12","author":"AH Ganie","year":"2023","unstructured":"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\u201391.","journal-title":"IEEE Access"},{"issue":"2","key":"10456_CR25","first-page":"17","volume":"4","author":"H Gitinavard","year":"2019","unstructured":"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\u201330.","journal-title":"J Qual Eng Prod Optim"},{"issue":"4","key":"10456_CR26","first-page":"1928","volume":"23","author":"H Gitinavard","year":"2016","unstructured":"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\u201340.","journal-title":"Sci Iran."},{"issue":"3","key":"10456_CR27","first-page":"213","volume":"10","author":"H Gitinavard","year":"2017","unstructured":"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\u201332.","journal-title":"Int J Appl Decis Sci"},{"key":"10456_CR28","doi-asserted-by":"publisher","first-page":"121605","DOI":"10.1016\/j.eswa.2023.121605","volume":"237","author":"S Golui","year":"2024","unstructured":"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.","journal-title":"Exp Syst Appl"},{"issue":"1","key":"10456_CR29","doi-asserted-by":"publisher","first-page":"177","DOI":"10.31181\/smeor11202415","volume":"1","author":"A Hussain","year":"2024","unstructured":"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\u201388. https:\/\/doi.org\/10.31181\/smeor11202415.","journal-title":"Spect Mech Eng Oper Res"},{"key":"10456_CR30","doi-asserted-by":"publisher","first-page":"101762","DOI":"10.1016\/j.seps.2023.101762","volume":"91","author":"K Kara","year":"2024","unstructured":"Kara K, Yal\u00e7\u0131n 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.","journal-title":"Socioecon Plann Sci"},{"issue":"1","key":"10456_CR31","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.fss.2011.04.007","volume":"181","author":"M Kauers","year":"2011","unstructured":"Kauers M, Pillwein V, Saminger-Platz S. Dominance in the family of Sugeno-Weber t-norms. Fuzzy Sets Syst. 2011;181(1):74\u201387.","journal-title":"Fuzzy Sets Syst"},{"issue":"12","key":"10456_CR32","doi-asserted-by":"publisher","first-page":"01","DOI":"10.3390\/math8122202","volume":"8","author":"M Keshavarz-Ghorabaee","year":"2020","unstructured":"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\u201324.","journal-title":"Mathematics"},{"key":"10456_CR33","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1007\/s10115-022-01776-4","volume":"65","author":"M Kiri\u015fci","year":"2023","unstructured":"Kiri\u015fci M. New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach. Knowl Inf Syst. 2023;65:855\u201368.","journal-title":"Knowl Inf Syst"},{"key":"10456_CR34","doi-asserted-by":"publisher","first-page":"111592","DOI":"10.1016\/j.asoc.2024.111592","volume":"158","author":"N Kumar","year":"2024","unstructured":"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.","journal-title":"Appl Soft Comput"},{"issue":"1","key":"10456_CR35","doi-asserted-by":"publisher","first-page":"185","DOI":"10.31181\/dma31202569","volume":"3","author":"R Kumar","year":"2025","unstructured":"Kumar R. A comprehensive review of MCDM methods, applications, and emerging trends. Decis Mak Adv. 2025;3(1):185\u201399. https:\/\/doi.org\/10.31181\/dma31202569.","journal-title":"Decis Mak Adv"},{"issue":"1","key":"10456_CR36","doi-asserted-by":"publisher","first-page":"178","DOI":"10.31181\/sdmap21202524","volume":"2","author":"R Kumar","year":"2025","unstructured":"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\u201397. https:\/\/doi.org\/10.31181\/sdmap21202524.","journal-title":"Spect Decis Mak Appl"},{"issue":"1","key":"10456_CR37","doi-asserted-by":"publisher","first-page":"167","DOI":"10.31181\/jopi21202415","volume":"2","author":"Z Liu","year":"2024","unstructured":"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\u201378. https:\/\/doi.org\/10.31181\/jopi21202415.","journal-title":"J Oper Intell."},{"key":"10456_CR38","doi-asserted-by":"publisher","first-page":"167","DOI":"10.31181\/jopi21202415","volume":"2","author":"Z Liu","year":"2024","unstructured":"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\u201378.","journal-title":"J Oper Intell"},{"key":"10456_CR39","doi-asserted-by":"publisher","first-page":"107878","DOI":"10.1016\/j.engappai.2024.107878","volume":"132","author":"Z Liu","year":"2024","unstructured":"Liu Z. Fermatean fuzzy similarity measures based on Tanimoto and S\u00f8rensen 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.","journal-title":"Eng Appl Artif Intell"},{"key":"10456_CR40","doi-asserted-by":"publisher","first-page":"1258044","DOI":"10.3389\/fenrg.2023.1258044","volume":"11","author":"Y Lv","year":"2023","unstructured":"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.","journal-title":"Front Energ Res"},{"issue":"1","key":"10456_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.31181\/jopi31202532","volume":"3","author":"SS Majd","year":"2025","unstructured":"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\u201316. https:\/\/doi.org\/10.31181\/jopi31202532.","journal-title":"J Oper Intell"},{"key":"10456_CR42","doi-asserted-by":"publisher","first-page":"108508","DOI":"10.1016\/j.engappai.2024.108508","volume":"133","author":"AR Mishra","year":"2024","unstructured":"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.","journal-title":"Eng Appl Artif Intell"},{"key":"10456_CR43","doi-asserted-by":"publisher","first-page":"01","DOI":"10.3390\/math11143105","volume":"11","author":"I Nikolic","year":"2023","unstructured":"Nikolic I, Milutinovic J, Bo\u017eanic J, Dobrodolac M. Using an interval type-2 fuzzy AROMAN decision-making method to improve the sustainability of the postal network in rural areas. Mathematics. 2023;11:01\u201326.","journal-title":"Mathematics"},{"issue":"1","key":"10456_CR44","doi-asserted-by":"publisher","first-page":"81","DOI":"10.52950\/ES.2024.13.1.005","volume":"13","author":"S Petrov","year":"2024","unstructured":"Petrov S, Aleksandrova S, Kirova S. Environmental effects of green bonds and other forms of financing in the European union. Int J Econ Sci. 2024;13(1):81\u2013105. https:\/\/doi.org\/10.52950\/ES.2024.13.1.005.","journal-title":"Int J Econ Sci."},{"key":"10456_CR45","doi-asserted-by":"publisher","unstructured":"Rani P, Mishra AR. Fermatean fuzzy Einstein aggregation operators-based MULTIMOORA method for electric vehicle charging station selection. Expert Syst Appl 2021; 182. https:\/\/doi.org\/10.1016\/j.eswa.2021.115267.","DOI":"10.1016\/j.eswa.2021.115267"},{"issue":"10","key":"10456_CR46","doi-asserted-by":"publisher","first-page":"4278","DOI":"10.3390\/su12104278","volume":"12","author":"P Rani","year":"2020","unstructured":"Rani P, Mishra AR, Mardani A, Cavallaro F, Streimikiene D, Khan SAR. Pythagorean fuzzy SWARA\u2013VIKOR framework for performance evaluation of solar panel selection. Sustainability. 2020;12(10):4278.","journal-title":"Sustainability"},{"issue":"2","key":"10456_CR47","doi-asserted-by":"publisher","first-page":"600","DOI":"10.31181\/dmame622023621","volume":"6","author":"CN Rao","year":"2023","unstructured":"Rao CN, Sujatha M. A consensus-based Fermatean fuzzy WASPAS methodology for selection of healthcare waste treatment technology selection. Decis Mak Appl Manag Eng. 2023;6(2):600\u201319. https:\/\/doi.org\/10.31181\/dmame622023621.","journal-title":"Decis Mak Appl Manag Eng"},{"issue":"3","key":"10456_CR48","first-page":"18","volume":"10","author":"L Sahoo","year":"2021","unstructured":"Sahoo L. Some score functions on Fermatean fuzzy sets and its application to bride selection based on TOPSIS method. Int J Fuzzy Syst Appl. 2021;10(3):18\u201329.","journal-title":"Int J Fuzzy Syst Appl"},{"issue":"1","key":"10456_CR49","doi-asserted-by":"publisher","first-page":"25","DOI":"10.31181\/dma1120237","volume":"1","author":"SK Sahoo","year":"2023","unstructured":"Sahoo SK, Goswami SS. A comprehensive review of multiple criteria decision-making (MCDM) methods: advancements, applications, and future directions. Decis Mak Adv. 2023;1(1):25\u201348. https:\/\/doi.org\/10.31181\/dma1120237.","journal-title":"Decis Mak Adv"},{"issue":"1","key":"10456_CR50","doi-asserted-by":"publisher","first-page":"219","DOI":"10.31181\/sdmap21202525","volume":"2","author":"SK Sahoo","year":"2025","unstructured":"Sahoo SK, Pamucar D, Goswami SS. A review of multi-criteria decision-making applications to solve energy management problems from 2010\u20132025: current state and future research. Spect Decis Mak Appl. 2025;2(1):219\u201341. https:\/\/doi.org\/10.31181\/sdmap21202525.","journal-title":"Spect Decis Mak Appl"},{"key":"10456_CR51","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1016\/j.renene.2013.12.038","volume":"66","author":"JM S\u00e1nchez-Lozano","year":"2014","unstructured":"S\u00e1nchez-Lozano JM, Antunes CH, Garc\u00eda-Cascales MS, Dias LC. GIS-based photovoltaic solar farms site selection using ELECTRE-TRI: evaluating the case for Torre Pacheco, Murcia, Southeast of Spain. Renew Energy. 2014;66:478\u201394. https:\/\/doi.org\/10.1016\/j.renene.2013.12.038.","journal-title":"Renew Energy"},{"key":"10456_CR52","doi-asserted-by":"publisher","first-page":"119305","DOI":"10.1016\/j.ins.2023.119305","volume":"645","author":"A Sarkar","year":"2023","unstructured":"Sarkar A, Senapati T, Jin L, Mesiar R, Biswas A, Yager RR. Sugeno-Weber triangular norm-based aggregation operators under T-spherical fuzzy hypersoft context. Inform Sci. 2023;645:119305. https:\/\/doi.org\/10.1016\/j.ins.2023.119305.","journal-title":"Inform Sci."},{"key":"10456_CR53","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s40032-019-00520-2","volume":"100","author":"G Sasikumar","year":"2019","unstructured":"Sasikumar G, Ayyappan S. Multi-criteria decision making for solar panel selection using fuzzy analytical hierarchy process and technique for order preference by similarity to ideal solution (TOPSIS): an empirical study. J Inst Eng India Ser C. 2019;100:707\u201315.","journal-title":"J Inst Eng India Ser C"},{"issue":"2","key":"10456_CR54","first-page":"285","volume":"40","author":"G Sasikumar","year":"2022","unstructured":"Sasikumar G, Sivasangari A. Multi-criteria decision-making for solar panel selection using an integrated analytical hierarchy process and VIKOR approach: a case study. Int J Bus Inform Syst. 2022;40(2):285\u201398.","journal-title":"Int J Bus Inform Syst."},{"issue":"2","key":"10456_CR55","first-page":"11","volume":"9","author":"G Sasikumar","year":"2019","unstructured":"Sasikumar G, Venkatachalam N. A review on applications of multi-criteria decision making (MCDM) for solar panel selection. Int J Mech Prod Eng Res Dev. 2019;9(2):11\u201320.","journal-title":"Int J Mech Prod Eng Res Dev"},{"key":"10456_CR56","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/s12652-019-01377-0","volume":"11","author":"T Senapati","year":"2020","unstructured":"Senapati T, Yager RR. Fermatean fuzzy sets. J Ambient Intell Humaniz Comput. 2020;11:663\u201374.","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"10456_CR57","doi-asserted-by":"publisher","first-page":"103669","DOI":"10.1016\/j.scs.2022.103669","volume":"79","author":"V Simi\u0107","year":"2022","unstructured":"Simi\u0107 V, Ivanovi\u0107 I, \u0110ori\u0107 V, Torkayesh AE. Adapting urban transport planning to the COVID-19 pandemic: an integrated Fermatean fuzzy model. Sust Cities Soc. 2022;79:103669. https:\/\/doi.org\/10.1016\/j.scs.2022.103669.","journal-title":"Sust Cities Soc"},{"key":"10456_CR58","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1016\/j.rser.2017.01.135","volume":"73","author":"S Sindhu","year":"2017","unstructured":"Sindhu S, Nehra V, Luthra S. Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: case study of India. Renew Sustain Energy Rev. 2017;73:496\u2013511.","journal-title":"Renew Sustain Energy Rev"},{"key":"10456_CR59","doi-asserted-by":"publisher","first-page":"101849","DOI":"10.1016\/j.seta.2021.101849","volume":"50","author":"SRK Soltani","year":"2022","unstructured":"Soltani SRK, Mostafaeipour A, Almutairi K, Dehshiri SJH, Dehshiri SSH, Techato K. Predicting effect of floating photovoltaic power plant on water loss through surface evaporation for wastewater pond using artificial intelligence: a case study. Sustain Energ Technol Assess. 2022;50:101849. https:\/\/doi.org\/10.1016\/j.seta.2021.101849.","journal-title":"Sustain Energ Technol Assess"},{"key":"10456_CR60","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1016\/j.rser.2015.07.054","volume":"51","author":"M Tahri","year":"2015","unstructured":"Tahri M, Hakdaoui M, Maanan M. The evaluation of solar farm locations applying geographic information system and multi-criteria decision-making methods: case study in southern Morocco. Renew Sustain Energy Rev. 2015;51:1354\u201362. https:\/\/doi.org\/10.1016\/j.rser.2015.07.054.","journal-title":"Renew Sustain Energy Rev"},{"key":"10456_CR61","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.esr.2017.09.003","volume":"18","author":"M Tavana","year":"2017","unstructured":"Tavana M, Arteaga JFS, Mohammadi S, Alimohammadi M. A fuzzy multi-criteria spatial decision support system for solar farm location planning. Energ Strat Rev. 2017;18:93\u2013105. https:\/\/doi.org\/10.1016\/j.esr.2017.09.003.","journal-title":"Energ Strat Rev"},{"issue":"1","key":"10456_CR62","doi-asserted-by":"publisher","first-page":"243","DOI":"10.31181\/10002122023t","volume":"3","author":"D Tesic","year":"2023","unstructured":"Tesic D, Marinkovic D. Application of fermatean fuzzy weight operators and MCDM model DIBR-DIBR II-NWBM-BM for efficiency-based selection of a complex combat system. J Decis Anal Intell Comput. 2023;3(1):243\u201356. https:\/\/doi.org\/10.31181\/10002122023t.","journal-title":"J Decis Anal Intell Comput"},{"key":"10456_CR63","doi-asserted-by":"publisher","first-page":"110951","DOI":"10.1016\/j.asoc.2023.110951","volume":"149","author":"N T\u00fcys\u00fcz","year":"2023","unstructured":"T\u00fcys\u00fcz N, Kahraman C. An integrated picture fuzzy Z-AHP & TOPSIS methodology: application to solar panel selection. Appl Soft Comput. 2023;149:110951. https:\/\/doi.org\/10.1016\/j.asoc.2023.110951.","journal-title":"Appl Soft Comput"},{"key":"10456_CR64","doi-asserted-by":"publisher","first-page":"2827","DOI":"10.1007\/s12652-024-04774-2","volume":"15","author":"A Umar","year":"2024","unstructured":"Umar A, Saraswat RN. Decision making using novel Fermatean fuzzy divergence measure and weighted aggregation operators. J Ambient Intell Human Comput. 2024;15:2827\u201338. https:\/\/doi.org\/10.1007\/s12652-024-04774-2.","journal-title":"J Ambient Intell Human Comput"},{"key":"10456_CR65","doi-asserted-by":"publisher","first-page":"112300","DOI":"10.1016\/j.knosys.2024.112300","volume":"301","author":"SP Wan","year":"2024","unstructured":"Wan SP, Dong J-Y, Chen S-M. An integrated method for shared power bank supplier selection based on linguistic hesitant fuzzy multi-criteria group decision making. Knowl Based Syst. 2024e;301:112300. https:\/\/doi.org\/10.1016\/j.knosys.2024.112300.","journal-title":"Knowl Based Syst"},{"key":"10456_CR66","doi-asserted-by":"publisher","first-page":"120404","DOI":"10.1016\/j.ins.2024.120404","volume":"666","author":"SP Wan","year":"2024","unstructured":"Wan SP, Dong J-Y, Chen S-M. A novel intuitionistic fuzzy best-worst method for group decision making with intuitionistic fuzzy preference relations. Inform Sci. 2024f;666:120404. https:\/\/doi.org\/10.1016\/j.ins.2024.120404.","journal-title":"Inform Sci"},{"key":"10456_CR67","doi-asserted-by":"publisher","first-page":"111374","DOI":"10.1016\/j.asoc.2024.111374","volume":"154","author":"S-P Wan","year":"2024","unstructured":"Wan S-P, Gao S-Z, Dong J-Y. Trapezoidal cloud based heterogeneous multi-criterion group decision-making for container multimodal transport path selection. Appl Soft Comput. 2024b;154:111374. https:\/\/doi.org\/10.1016\/j.asoc.2024.111374.","journal-title":"Appl Soft Comput"},{"key":"10456_CR68","doi-asserted-by":"publisher","first-page":"120526","DOI":"10.1016\/j.ins.2024.120526","volume":"668","author":"S-P Wan","year":"2024","unstructured":"Wan S-P, Dong J-Y, Zhang Z-H. Two-stage consensus reaching process in social network large group decision-making with application to battery supplier selection. Inform Sci. 2024c;668:120526. https:\/\/doi.org\/10.1016\/j.ins.2024.120526.","journal-title":"Inform Sci"},{"key":"10456_CR69","doi-asserted-by":"publisher","first-page":"122456","DOI":"10.1016\/j.eswa.2023.122456","volume":"242","author":"S-P Wan","year":"2024","unstructured":"Wan S-P, Wu H, Dong J-Y. An integrated method for complex heterogeneous multi-attribute group decision-making and application to photovoltaic power station site selection. Exp Syst Appl. 2024a;242:122456. https:\/\/doi.org\/10.1016\/j.eswa.2023.122456.","journal-title":"Exp Syst Appl"},{"issue":"3","key":"10456_CR70","first-page":"389","volume":"11","author":"S-P Wan","year":"2024","unstructured":"Wan S-P, Zeng C-Y, Dong J-Y, Hu S-S. Linguistic hesitant fuzzy interactive multi-attribute group decision making for enterprise resource planning selection. J Manag Anal. 2024d;11(3):389\u2013444.","journal-title":"J Manag Anal"},{"key":"10456_CR71","doi-asserted-by":"publisher","first-page":"125342","DOI":"10.1016\/j.eswa.2024.125342","volume":"262","author":"S-P Wan","year":"2025","unstructured":"Wan S-P, Zou W-C, Dong J-Y, Gao Y. Dual strategies consensus reaching process for ranking consensus based probabilistic linguistic multi-criteria group decision-making method. Exp Syst Appl. 2025;262:125342. https:\/\/doi.org\/10.1016\/j.eswa.2024.125342.","journal-title":"Exp Syst Appl"},{"issue":"6","key":"10456_CR72","doi-asserted-by":"publisher","first-page":"1504","DOI":"10.3390\/en11061504","volume":"11","author":"C-N Wang","year":"2018","unstructured":"Wang C-N, Nguyen VT, Thai HTN, Duong DH. Multi-criteria decision making (MCDM) approaches for solar power plant location selection in Viet Nam. Energies. 2018;11(6):1504. https:\/\/doi.org\/10.3390\/en11061504.","journal-title":"Energies"},{"issue":"1","key":"10456_CR73","doi-asserted-by":"publisher","first-page":"188","DOI":"10.31181\/jscda21202442","volume":"2","author":"H Wang","year":"2024","unstructured":"Wang H, Zhao W, Zheng J. Improved q-rung orthopair fuzzy WASPAS method based on Softmax function and frank operations for investment decision of community group-buying platform. J Soft Comput Decis Anal. 2024;2(1):188\u2013212. https:\/\/doi.org\/10.31181\/jscda21202442.","journal-title":"J Soft Comput Decis Anal"},{"key":"10456_CR74","doi-asserted-by":"publisher","unstructured":"Wang Y, Hussain A, Yin S, Ullah K, Bo\u017eani\u0107 D. Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information. Front Energy Res. 2024; https:\/\/doi.org\/10.3389\/fenrg.2023.1293623","DOI":"10.3389\/fenrg.2023.1293623"},{"issue":"1","key":"10456_CR75","doi-asserted-by":"publisher","first-page":"1","DOI":"10.31181\/smeor21202524","volume":"2","author":"J Wi\u0119ckowski","year":"2025","unstructured":"Wi\u0119ckowski J, Sa\u0142abun W. Comparative sensitivity analysis in composite material selection: evaluating OAT and COMSAM methods in multi-criteria decision-making. Spect Mech Eng Oper Res. 2025;2(1):1\u201312. https:\/\/doi.org\/10.31181\/smeor21202524.","journal-title":"Spect Mech Eng Oper Res"},{"key":"10456_CR76","doi-asserted-by":"crossref","unstructured":"Yager RR. Pythagorean fuzzy subsets. In Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, Edmonton, AB, Canada, 2013; 24\u201328 June 2013; pp. 57\u201361.","DOI":"10.1109\/IFSA-NAFIPS.2013.6608375"},{"key":"10456_CR77","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA. Fuzzy sets. Inf Control. 1965;8:338\u201353.","journal-title":"Inf Control"},{"key":"10456_CR78","doi-asserted-by":"publisher","first-page":"110789","DOI":"10.1016\/j.asoc.2023.110789","volume":"147","author":"Y Zhong","year":"2023","unstructured":"Zhong Y, Li G, Chen C, Liu Y. Failure mode and effects analysis method based on Fermatean fuzzy weighted Muirhead mean operator. Appl Soft Comput. 2023;147:110789. https:\/\/doi.org\/10.1016\/j.asoc.2023.110789.","journal-title":"Appl Soft Comput"}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-025-10456-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12559-025-10456-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-025-10456-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T02:41:34Z","timestamp":1750905694000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12559-025-10456-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":78,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["10456"],"URL":"https:\/\/doi.org\/10.1007\/s12559-025-10456-8","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"value":"1866-9956","type":"print"},{"value":"1866-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,19]]},"assertion":[{"value":"26 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors state that this is their original work and it is neither submitted nor under consideration in any other journal simultaneously.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Human and Animal Participants"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}],"article-number":"102"}}