{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T01:51:04Z","timestamp":1781833864929,"version":"3.54.5"},"reference-count":63,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100015818","name":"NIT-Durgapur","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015818","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.asoc.2026.115730","type":"journal-article","created":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T06:47:34Z","timestamp":1781333254000},"page":"115730","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PA","title":["A new type-2 Fermatean fuzzy based decision model for security analysis in financial market"],"prefix":"10.1016","volume":"202","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-4667-151X","authenticated-orcid":false,"given":"Bikash Koli","family":"Roy","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samarjit","family":"Kar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9243-2403","authenticated-orcid":false,"given":"Sanjib","family":"Biswas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2026.115730_bib1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2022\/8239263","article-title":"Extending COPRAS method with linguistic Fermatean fuzzy sets and Hamy mean operators","volume":"2022","author":"Akram","year":"2022","journal-title":"J. Math."},{"issue":"7","key":"10.1016\/j.asoc.2026.115730_bib2","doi-asserted-by":"crossref","first-page":"7201","DOI":"10.3934\/mbe.2022340","article-title":"An enhanced VIKOR method for multi-criteria group decision-making with complex Fermatean fuzzy sets","volume":"19","author":"Akram","year":"2022","journal-title":"Math. Biosci. Eng."},{"key":"10.1016\/j.asoc.2026.115730_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2023.105992","article-title":"An outranking approach with 2-tuple linguistic Fermatean fuzzy sets for multi-attribute group decision-making","volume":"121","author":"Akram","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.asoc.2026.115730_bib4","doi-asserted-by":"crossref","DOI":"10.1155\/2023\/9273239","article-title":"Novel information measures for Fermatean fuzzy sets and their applications to pattern recognition and medical diagnosis","volume":"2023","author":"Ashraf","year":"2023","journal-title":"Comput. Intell. Neurosci."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib5","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","article-title":"Intuitionistic Fuzzy Sets","volume":"20","author":"Atanassov","year":"1986","journal-title":"Fuzzy Sets Syst."},{"key":"10.1016\/j.asoc.2026.115730_bib6","volume":"283","author":"Atanassov","year":"2012"},{"key":"10.1016\/j.asoc.2026.115730_bib7","first-page":"66","article-title":"A second type of intuitionistic fuzzy sets","volume":"56","author":"Atanassov","year":"1983","journal-title":"BUSEFAL"},{"issue":"S1","key":"10.1016\/j.asoc.2026.115730_bib8","first-page":"27","article-title":"Geometrical interpretation of the elements of the intuitionistic fuzzy objects","volume":"20","author":"Atanassov","year":"2016","journal-title":"Int. J. Bioautom"},{"key":"10.1016\/j.asoc.2026.115730_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2023.121628","article-title":"A Fermatean fuzzy MCDM method for selection and ranking Problems: Case studies","volume":"237","author":"Aydo\u011fan","year":"2024","journal-title":"Expert. Syst. Appl."},{"issue":"12","key":"10.1016\/j.asoc.2026.115730_bib10","doi-asserted-by":"crossref","first-page":"2430","DOI":"10.3390\/sym13122430","article-title":"A new integrated FUCOM\u2013CODAS framework with fermatean fuzzy information for multi-criteria group decision-making","volume":"13","author":"Biswas","year":"2021","journal-title":"Symmetry"},{"issue":"2","key":"10.1016\/j.asoc.2026.115730_bib11","doi-asserted-by":"crossref","first-page":"140","DOI":"10.31181\/dmame0306102022b","article-title":"A multi-criteria framework for comparing dividend pay capabilities: Evidence from Indian FMCG and consumer durable sector","volume":"5","author":"Biswas","year":"2022","journal-title":"Decis. Mak. Appl. Manag. Eng."},{"issue":"3","key":"10.1016\/j.asoc.2026.115730_bib12","doi-asserted-by":"crossref","first-page":"153","DOI":"10.31181\/oresta161122121b","article-title":"A Multi-criteria based stock selection framework in emerging market","volume":"5","author":"Biswas","year":"2022","journal-title":"Oper. Res. Eng. Sci. Theory Appl."},{"issue":"6","key":"10.1016\/j.asoc.2026.115730_bib13","doi-asserted-by":"crossref","first-page":"808","DOI":"10.3390\/sym11060808","article-title":"Intuitionistic type-2 fuzzy set and its properties","volume":"11","author":"Dan","year":"2019","journal-title":"Symmetry"},{"issue":"3","key":"10.1016\/j.asoc.2026.115730_bib14","doi-asserted-by":"crossref","first-page":"1903","DOI":"10.1002\/int.22760","article-title":"New distance measure for Fermatean fuzzy sets and its application","volume":"37","author":"Deng","year":"2022","journal-title":"Int. J. Intell. Syst."},{"issue":"12","key":"10.1016\/j.asoc.2026.115730_bib15","first-page":"2034","article-title":"A Subjective Weighting Method Based on Group Decision Making For Ranking and Measuring Criteria Values","volume":"5","author":"Eshlaghy","year":"2011","journal-title":"Aust. J. Basic. Appl. Sci."},{"issue":"4","key":"10.1016\/j.asoc.2026.115730_bib16","doi-asserted-by":"crossref","first-page":"979","DOI":"10.1007\/s41066-021-00309-8","article-title":"Multicriteria decision-making based on distance measures and knowledge measures of Fermatean fuzzy sets","volume":"7","author":"Ganie","year":"2022","journal-title":"Granul. Comput."},{"key":"10.1016\/j.asoc.2026.115730_bib17","volume":"452","author":"Graham","year":"1934"},{"key":"10.1016\/j.asoc.2026.115730_bib18","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1016\/j.ins.2023.03.113","article-title":"The blockchain technology selection in the logistics industry using a novel MCDM framework based on Fermatean fuzzy sets and Dombi aggregation","volume":"635","author":"G\u00f6r\u00e7\u00fcn","year":"2023","journal-title":"Inf. Sci."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib19","doi-asserted-by":"crossref","first-page":"774","DOI":"10.31181\/dmame0318062021g","article-title":"An integrated framework for classification and selection of stocks for portfolio construction: Evidence from NSE, India","volume":"6","author":"Gupta","year":"2023","journal-title":"Decis. Mak. Appl. Manag. Eng."},{"issue":"8","key":"10.1016\/j.asoc.2026.115730_bib20","doi-asserted-by":"crossref","DOI":"10.1111\/exsy.12769","article-title":"Fermatean fuzzy set extensions of SAW, ARAS, and VIKOR with applications in COVID-19 testing laboratory selection problem","volume":"38","author":"G\u00fcl","year":"2021","journal-title":"Expert. Syst."},{"key":"10.1016\/j.asoc.2026.115730_bib21","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.ins.2014.02.019","article-title":"Fuzzy inferior ratio method for multiple attribute decision making problems","volume":"277","author":"Hadi-Vencheh","year":"2014","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115730_bib22","series-title":"Multiple attribute decision making: methods and applications","author":"Hwang","year":"1981"},{"key":"10.1016\/j.asoc.2026.115730_bib23","article-title":"A fuzzy analytical hierarchy process framework for stock selection in the Indian stock market","author":"Jain","year":"2021","journal-title":"J. Public. Aff."},{"issue":"2","key":"10.1016\/j.asoc.2026.115730_bib24","doi-asserted-by":"crossref","first-page":"118","DOI":"10.5755\/j01.ee.32.2.24884","article-title":"Investment decision support based on interval type-2 fuzzy expert system","volume":"32","author":"Jankova","year":"2021","journal-title":"Eng. Econ."},{"issue":"2","key":"10.1016\/j.asoc.2026.115730_bib25","doi-asserted-by":"crossref","first-page":"415","DOI":"10.3390\/math11020415","article-title":"Optimal selection of stock portfolios using multi-criteria decision-making methods","volume":"11","author":"Jing","year":"2023","journal-title":"Mathematics"},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib26","first-page":"17","article-title":"Assessment of mutual fund performance using distance based multi-criteria decision making techniques-An Indian perspective","volume":"44","author":"Karmakar","year":"2018","journal-title":"Res. Bull."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib27","first-page":"16","article-title":"Correlation coefficients of fermatean fuzzy sets with a medical application","volume":"5","author":"Kirisci","year":"2022","journal-title":"J. Math. Sci. Model."},{"issue":"2","key":"10.1016\/j.asoc.2026.115730_bib28","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1007\/s10115-022-01776-4","article-title":"New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach","volume":"65","author":"Kiri\u015fci","year":"2023","journal-title":"Knowl. Inf. Syst."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib29","doi-asserted-by":"crossref","first-page":"29","DOI":"10.17535\/crorr.2023.0003","article-title":"Improving portfolio liquidity: MCDM approach to share selection on the Zagreb Stock Exchange","volume":"14","author":"Kova\u010d","year":"2023","journal-title":"Croat. Oper. Res. Rev."},{"key":"10.1016\/j.asoc.2026.115730_bib30","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.asoc.2017.06.034","article-title":"The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets","volume":"60","author":"Liang","year":"2017","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115730_bib31","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ins.2017.04.037","article-title":"Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction","volume":"408","author":"Lourenzutti","year":"2017","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115730_bib32","first-page":"77","article-title":"Portfolio selection","volume":"7","author":"Markowitz","year":"1952","journal-title":"J. Financ."},{"key":"10.1016\/j.asoc.2026.115730_bib33","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.108570","article-title":"COPRAS method based on interval-valued hesitant Fermatean fuzzy sets and its application in selecting desalination technology","volume":"119","author":"Mishra","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115730_bib34","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1007\/s12652-021-02902-w","article-title":"Fermatean fuzzy CRITIC-EDAS approach for the selection of sustainable third-party reverse logistics providers using improved generalized score function","volume":"13","author":"Mishra","year":"2022","journal-title":"J. Ambient. Intell. Human. Comput."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib35","doi-asserted-by":"crossref","first-page":"90","DOI":"10.31181\/dmame0310022022n","article-title":"Stock portfolio selection using a new decision-making approach based on the integration of fuzzy CoCoSo with Heronian mean operator","volume":"5","author":"Narang","year":"2022","journal-title":"Decis. Mak. Appl. Manag. Eng."},{"issue":"6","key":"10.1016\/j.asoc.2026.115730_bib36","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1007\/s12652-018-0804-5","article-title":"A hybrid approach for multi-criteria emergency center location problem considering existing emergency centers with interval type data: a case study","volume":"9","author":"Niroomand","year":"2018","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"4","key":"10.1016\/j.asoc.2026.115730_bib37","first-page":"253","article-title":"Application of the AHP-TOPSIS Method to Support Stock Investment Decisions Based on Financial Ratio Analysis","volume":"4","author":"Pardede","year":"2023","journal-title":"Int. J. Glob. Oper. Res."},{"issue":"11","key":"10.1016\/j.asoc.2026.115730_bib38","doi-asserted-by":"crossref","first-page":"6440","DOI":"10.1002\/int.22556","article-title":"Stock selection multicriteria decision-making method based on elimination and choice translating reality I with Z-numbers","volume":"36","author":"Peng","year":"2021","journal-title":"Int. J. Intell. Syst."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40854-020-00175-4","article-title":"Portfolio selection: a fuzzy-ANP approach","volume":"6","author":"Rahiminezhad Galankashi","year":"2020","journal-title":"Financ. Innov."},{"key":"10.1016\/j.asoc.2026.115730_bib40","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2022.108165","article-title":"New complex proportional assessment approach using Einstein aggregation operators and improved score function for interval-valued Fermatean fuzzy sets","volume":"169","author":"Rani","year":"2022","journal-title":"Comput. & Ind. Eng."},{"key":"10.1016\/j.asoc.2026.115730_bib41","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.105401","article-title":"MARCOS approach based upon cubic Fermatean fuzzy set and its application in evaluation and selecting cold chain logistics distribution center","volume":"116","author":"Rong","year":"2022","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.asoc.2026.115730_bib42","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.118497","article-title":"Warehouse site selection for the automotive industry using a fermatean fuzzy-based decision-making approach","volume":"211","author":"Saha","year":"2023","journal-title":"Expert. Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115730_bib43","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1016\/j.ins.2019.07.032","article-title":"An uncertain possibility-probability information fusion method under interval type-2 fuzzy environment and its application in stock selection","volume":"504","author":"Sang","year":"2019","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115730_bib44","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1007\/s12652-019-01377-0","article-title":"Fermatean fuzzy sets","volume":"11","author":"Senapati","year":"2020","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"key":"10.1016\/j.asoc.2026.115730_bib45","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ins.2017.10.045","article-title":"An extended intuitionistic fuzzy TOPSIS method based on a new distance measure with an application to credit risk evaluation","volume":"428","author":"Shen","year":"2018","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115730_bib46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2022\/8442123","article-title":"An approach of decision-making under the framework of fermatean fuzzy sets","volume":"2022","author":"Sindhu","year":"2022","journal-title":"Math. Probl. Eng."},{"key":"10.1016\/j.asoc.2026.115730_bib47","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106212","article-title":"A decision-theoretic rough set model with q-rung orthopair fuzzy information and its application in stock investment evaluation","volume":"91","author":"Tang","year":"2020","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2026.115730_bib48","doi-asserted-by":"crossref","first-page":"53687","DOI":"10.1109\/ACCESS.2019.2912913","article-title":"A novel neutrosophic data analytic hierarchy process for multi-criteria decision making method: A case study in kuala lumpur stock exchange","volume":"7","author":"Tey","year":"2019","journal-title":"IEEE Access."},{"key":"10.1016\/j.asoc.2026.115730_bib49","first-page":"13385","article-title":"Fuzzy Expert System for Stock Portfolio Selection: An Application to Bombay Stock Exchange","volume":"2204","author":"Thakur","year":"2022","journal-title":"arXiv Prepr. arXiv"},{"key":"10.1016\/j.asoc.2026.115730_bib50","article-title":"Doctor selection based on aspect-based sentiment analysis and neutrosophic TOPSIS method","volume":"124","author":"Wang","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.asoc.2026.115730_bib51","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.knosys.2013.05.011","article-title":"Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information","volume":"52","author":"Xu","year":"2013","journal-title":"Knowl. -Based Syst."},{"issue":"4","key":"10.1016\/j.asoc.2026.115730_bib52","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1109\/TFUZZ.2013.2278989","article-title":"Pythagorean membership grades in multicriteria decision making","volume":"22","author":"Yager","year":"2013","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"5","key":"10.1016\/j.asoc.2026.115730_bib53","doi-asserted-by":"crossref","first-page":"1222","DOI":"10.1109\/TFUZZ.2016.2604005","article-title":"Generalized orthopair fuzzy sets","volume":"25","author":"Yager","year":"2017","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"3","key":"10.1016\/j.asoc.2026.115730_bib54","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","article-title":"Fuzzy sets","volume":"8","author":"Zadeh","year":"1965","journal-title":"Inf. Control."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib55","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/0020-0255(75)90017-1","article-title":"The concept of a linguistic variable and its application to approximate reasoning-iii","volume":"9","author":"Zadeh","year":"1975","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115730_bib56","first-page":"591","article-title":"Fuzzy logic and its application to approximate reasoning","volume":"74","author":"Zadeh","year":"1974","journal-title":"Inf. Process."},{"issue":"9","key":"10.1016\/j.asoc.2026.115730_bib57","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2023.e19170","article-title":"Complex Fermatean fuzzy extended TOPSIS method and its applications in decision making","volume":"9","author":"Zaman","year":"2023","journal-title":"Heliyon"},{"key":"10.1016\/j.asoc.2026.115730_bib58","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1016\/j.ins.2022.07.009","article-title":"A novel TOPSIS method with decision-theoretic rough fuzzy sets","volume":"608","author":"Zhang","year":"2022","journal-title":"Inf. Sci."},{"key":"10.1016\/j.asoc.2026.115730_bib59","doi-asserted-by":"crossref","first-page":"2417","DOI":"10.1007\/s12652-018-0912-2","article-title":"A novel technique for multiple attribute group decision making in interval-valued hesitant fuzzy environments with incomplete weight information","volume":"10","author":"Zhang","year":"2019","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"14","key":"10.1016\/j.asoc.2026.115730_bib60","doi-asserted-by":"crossref","first-page":"3211","DOI":"10.3390\/math11143211","article-title":"Novel Fermatean Fuzzy Aczel\u2013Alsina model for investment strategy selection","volume":"11","author":"Haq","year":"2023","journal-title":"Mathematics"},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib61","first-page":"60","article-title":"Profitable portfolio using fermatean fuzzy numbers","volume":"5","author":"Adak","year":"2024","journal-title":"J. Fuzzy Ext. Appl."},{"issue":"3","key":"10.1016\/j.asoc.2026.115730_bib62","doi-asserted-by":"crossref","first-page":"115","DOI":"10.54216\/IJNS.240310","article-title":"Robust financial market share prediction using intuitionistic possibility fermatean neutrosophic soft set","volume":"24","author":"Basheri","year":"2024","journal-title":"Int. J. Neutrosophic Sci."},{"issue":"1","key":"10.1016\/j.asoc.2026.115730_bib63","doi-asserted-by":"crossref","first-page":"44","DOI":"10.26650\/ISTJECON2024-1478258","article-title":"Portfolio selection analysis with a Fermatean fuzzy-type AHP","volume":"75","author":"Kuzu","year":"2025","journal-title":"\u0130stanbul \u0130ktisat Derg."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626011786?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626011786?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T01:03:00Z","timestamp":1781830980000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626011786"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":63,"alternative-id":["S1568494626011786"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115730","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A new type-2 Fermatean fuzzy based decision model for security analysis in financial market","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115730","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"115730"}}