{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T06:14:59Z","timestamp":1783318499651,"version":"3.54.6"},"reference-count":58,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003093","name":"Ministry of Higher Education, Malaysia","doi-asserted-by":"publisher","award":["FRGS\/1\/2022\/STG06\/UMT\/02\/4, Grant No. 59722"],"award-info":[{"award-number":["FRGS\/1\/2022\/STG06\/UMT\/02\/4, Grant No. 59722"]}],"id":[{"id":"10.13039\/501100003093","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1007\/s00521-026-12193-x","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T01:32:02Z","timestamp":1781487122000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Improving educational predictive modeling with a hierarchical ANFIS approach based on neutrosophic entropy and DEMATEL"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3600-6688","authenticated-orcid":false,"given":"Mohamad Ariffin Abu","family":"Bakar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmad Termimi","family":"Ab Ghani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohd Lazim","family":"Abdullah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatin Nadiah Mohamed","family":"Yussof","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"12193_CR1","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.cogsys.2018.10.023","volume":"57","author":"M Abdel-Basset","year":"2019","unstructured":"Abdel-Basset M, Atef A, Smarandache F (2019) A hybrid Neutrosophic multiple criteria group decision making approach for project selection. Cogn Syst Res 57:216\u2013227","journal-title":"Cogn Syst Res"},{"issue":"2","key":"12193_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.15700\/saje.v39n2a1552","volume":"39","author":"AH Abdullah","year":"2019","unstructured":"Abdullah AH, Fadil SS, Rahman SNSA, Tahir LM, Hamzah MH (2019) Emerging patterns and problems of high-er-order thinking skills (HOTS) mathematical problem-solving in the Form-three assess-ment (PT3). South Afr J Educ 39(2):1\u201318. https:\/\/doi.org\/10.15700\/saje.v39n2a1552","journal-title":"South Afr J Educ"},{"key":"12193_CR3","doi-asserted-by":"crossref","unstructured":"Alpar G, Hoeve MV (2019) Towards Growth-Mindset Mathematics Teaching in the Netherlands. In C. M. Stracke (Ed.), LINQ, EPiC Ser Edu Sci, 2:1\u201317","DOI":"10.29007\/gdgh"},{"issue":"3","key":"12193_CR4","doi-asserted-by":"publisher","first-page":"64","DOI":"10.3390\/axioms7030064","volume":"7","author":"A Al-Quran","year":"2018","unstructured":"Al-Quran A, Alkhazaleh S (2018) Relations between the complex neutrosophic sets with their applications in decision making. Axioms 7(3):64","journal-title":"Axioms"},{"key":"12193_CR5","doi-asserted-by":"crossref","unstructured":"Alzyoudi M, Moussa N, Almazroui K, Alnuaimi S (2023) Analyzing Digital Education using Neutrosophic Sets. Int J Neutrosophic Sci (IJNS), 20(2)","DOI":"10.54216\/IJNS.200210"},{"issue":"4","key":"12193_CR6","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.18421\/TEM114-63","volume":"11","author":"MAA Bakar","year":"2022","unstructured":"Bakar MAA, Ab Ghani AT, Abdullah ML, Ismail N, Ab Aziz S (2022) Adaptive neuro-fuzzy inference system (ANFIS) formulation to predict stu-dents\u2019 neuroscience mechanistic: A concept of an intel-ligent model to enhance mathe-matics learning ability. TEM J 11(4):1942\u20131951. https:\/\/doi.org\/10.18421\/TEM114-63","journal-title":"TEM J"},{"issue":"2016","key":"12193_CR7","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.procs.2016.09.398","volume":"102","author":"S Basaran","year":"2016","unstructured":"Basaran S (2016) Multi-criteria decision analysis approaches for selecting and evaluating digital learning objects. Procedia Comput Sci 102(2016):251\u2013258","journal-title":"Procedia Comput Sci"},{"key":"12193_CR8","doi-asserted-by":"publisher","first-page":"479","DOI":"10.5281\/zenodo.14549817","volume":"79","author":"Z Baser","year":"2024","unstructured":"Baser Z, Ulucay V (2024) Energy of a neutrosophic soft set and its applications to multi-criteria decision-making problems. Neutrosophic Sets Syst 79:479\u2013492. https:\/\/doi.org\/10.5281\/zenodo.14549817","journal-title":"Neutrosophic Sets Syst"},{"key":"12193_CR9","doi-asserted-by":"publisher","DOI":"10.3389\/fams.2021.614408","volume":"7","author":"S Chand","year":"2021","unstructured":"Chand S, Chaudhary K, Prasad A, Chand V (2021) Perceived causes of students\u2019 poor performance in mathematics: A case study at Ba and Tavua secondary schools. Front Appl Math Stat 7:614408. https:\/\/doi.org\/10.3389\/fams.2021.614408","journal-title":"Front Appl Math Stat"},{"issue":"3","key":"12193_CR10","doi-asserted-by":"publisher","first-page":"51","DOI":"10.3390\/info9030051","volume":"9","author":"JF Chen","year":"2018","unstructured":"Chen JF, Do QH, Nguyen TVA, Doan TTH (2018) Forecasting monthly electricity demands by wavelet neuro-fuzzy system optimized by heuristic algorithms. Information 9(3):51","journal-title":"Information"},{"issue":"2020","key":"12193_CR11","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/j.neubiorev.2020.01.032","volume":"112","author":"CM Conway","year":"2020","unstructured":"Conway CM (2020) How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning. Neurosci Biobehav Rev 112(2020):279\u2013299","journal-title":"Neurosci Biobehav Rev"},{"issue":"10","key":"12193_CR12","first-page":"396","volume":"12","author":"QH Do","year":"2013","unstructured":"Do QH, Chen JF (2013) A comparative study of hierarchical ANFIS and ANN in predicting student academic performance. WSEAS Trans Inform Sci Appl 12(10):396\u2013405","journal-title":"WSEAS Trans Inform Sci Appl"},{"issue":"2020","key":"12193_CR13","doi-asserted-by":"publisher","first-page":"193","DOI":"10.5267\/j.dsl.2019.11.002","volume":"9","author":"QH Do","year":"2020","unstructured":"Do QH, Trang TV (2020) Forecasting Vietnamese stock index: A comparison of hierarchical ANFIS and LSTM. Decision Science Letters 9(2020):193\u2013206","journal-title":"Decision Science Letters"},{"issue":"2","key":"12193_CR14","doi-asserted-by":"publisher","first-page":"139","DOI":"10.37934\/araset.41.2.139151","volume":"41","author":"A Eisa","year":"2024","unstructured":"Eisa A, Fattouh M, ElShabshery AA (2024) Single-Valued Neutrosophic Sets Based Score Function and WASPAS Method for Plant Location Selection Problem. J Adv Res Appl Sci Eng Technol 41(2):139\u2013151. https:\/\/doi.org\/10.37934\/araset.41.2.139151","journal-title":"J Adv Res Appl Sci Eng Technol"},{"issue":"5","key":"12193_CR15","first-page":"406","volume":"10","author":"A Elshabshery","year":"2021","unstructured":"Elshabshery A, Fattouh M (2021) On some Information Measures of Single\u2013Valued Neutrosophic Sets and their Applications in MCDM Problems. Int J Eng Res Technol 10(5):406\u2013415","journal-title":"Int J Eng Res Technol"},{"key":"12193_CR16","doi-asserted-by":"publisher","DOI":"10.54216\/ijns.190106","author":"OH Embarak","year":"2022","unstructured":"Embarak OH, Aldarmaki FR, Almesmari MJ (2022) Towards smart education in IoT and IoB environment using the neutrosophic approach. Int J Neutrosophic Sci. https:\/\/doi.org\/10.54216\/ijns.190106","journal-title":"Int J Neutrosophic Sci"},{"key":"12193_CR17","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1631\/FITEE.19r0001","volume":"20","author":"AD Falehi","year":"2017","unstructured":"Falehi AD, Mosallanejad A (2017) Retraction Note to: Dynamic stability enhancement of interconnected multi-source power systems using hierarchical ANFIS controller-TCSC based on multi-objective PSOs. Front Inform Technol Electron Eng 20:749","journal-title":"Front Inform Technol Electron Eng"},{"key":"12193_CR18","doi-asserted-by":"crossref","unstructured":"Feng Q (2023) An integrated decision approach with triangular fuzzy neutrosophic sets for higher vocational education quality evaluation in the new era. J Intell Fuzzy Syst, (Preprint), 1\u201314","DOI":"10.3233\/JIFS-234044"},{"key":"12193_CR19","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2022.922633","volume":"13","author":"JDL Fuente","year":"2022","unstructured":"Fuente JDL, Pach\u00f3n-Basallo M, Mart\u00ednez-Vicente JM, Peralta-S\u00e1nchez FJ, Garz\u00f3n-Umerenkova A, Sander P (2022) Self- vs. external-regulation behavior scaletm in different psychological contexts: A validation study. Front Psychol 13:922633. https:\/\/doi.org\/10.3389\/fpsyg.2022.922633","journal-title":"Front Psychol"},{"issue":"4","key":"12193_CR20","first-page":"37","volume":"7","author":"N Hassan","year":"2018","unstructured":"Hassan N, Ulu\u00e7ay V, \u015eahin M (2018) Q-neutrosophic soft expert set and its application in decision making. Int J Fuzzy Syst Appl 7(4):37\u201361","journal-title":"Int J Fuzzy Syst Appl"},{"issue":"8","key":"12193_CR21","doi-asserted-by":"publisher","first-page":"5140","DOI":"10.3390\/app13085140","volume":"13","author":"MO Hegazi","year":"2023","unstructured":"Hegazi MO, Almaslukh B, Siddig K (2023) A Fuzzy Model for Reasoning and Predicting Student\u2019s Academic Performance. Appl Sci 13(8):5140","journal-title":"Appl Sci"},{"issue":"90","key":"12193_CR22","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1136\/jnnp-2018-318265","volume":"2019","author":"CL Heron","year":"2019","unstructured":"Heron CL, Holroyd CB, Salamone J, Husain M (2019) Brain mechanisms underlying apathy. Neurol Neurosurg Psychiatry 2019(90):302\u2013312. https:\/\/doi.org\/10.1136\/jnnp-2018-318265","journal-title":"Neurol Neurosurg Psychiatry"},{"issue":"1","key":"12193_CR23","doi-asserted-by":"publisher","first-page":"75","DOI":"10.53841\/bpsecp.2016.33.1.75","volume":"33","author":"B Hohnen","year":"2016","unstructured":"Hohnen B, Murphy T (2016) The optimum context for learning; Drawing on neuroscience to inform best practice in the classroom. Educational Child Psychol 33(1):75\u201390","journal-title":"Educational Child Psychol"},{"issue":"4","key":"12193_CR24","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1080\/10627190802602509","volume":"13","author":"H Alkharusi","year":"2008","unstructured":"Alkharusi H (2008) Effects of classroom assessment practices on students\u2019 achievement goals. Educ Assess 13(4):243\u2013266. https:\/\/doi.org\/10.1080\/10627190802602509","journal-title":"Educ Assess"},{"issue":"2020","key":"12193_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2020.100003","volume":"1","author":"GJ Hwang","year":"2020","unstructured":"Hwang GJ, Sung HY, Chang SC, Huang XC (2020) A fuzzy expert system-based adaptive learning approach to improving students\u2019 learning performances by considering affective and cognitive factors. Comput Educ Artif Intell 1(2020):100003","journal-title":"Comput Educ Artif Intell"},{"key":"12193_CR26","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1016\/j.cogsys.2016.11.006","volume":"42","author":"MS Iraji","year":"2017","unstructured":"Iraji MS (2017) Multi-layer architecture for adaptive fuzzy inference system with a large number of input features. Cogn Syst Res 42:23\u201341. https:\/\/doi.org\/10.1016\/j.cogsys.2016.11.006","journal-title":"Cogn Syst Res"},{"issue":"3","key":"12193_CR27","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"JS Jang","year":"1993","unstructured":"Jang JS (1993) ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans Syst Man Cybernetics 23(3):665\u2013685","journal-title":"IEEE Trans Syst Man Cybernetics"},{"issue":"2020","key":"12193_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.heliyon.2020.e04706","volume":"6","author":"JS Jeong","year":"2020","unstructured":"Jeong JS, Gonzalez-Gomez D (2020) Assessment of sustainability science education criteria in online-learning through fuzzy-operational and multi-decision analysis and professional survey. Heliyon 6(2020):1\u201311. https:\/\/doi.org\/10.1016\/j.heliyon.2020.e04706","journal-title":"Heliyon"},{"issue":"2","key":"12193_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3991\/ijes.v4i2.5800","volume":"4","author":"M Karyotaki","year":"2016","unstructured":"Karyotaki M, Drigas A (2016) Latest trends in problem solving assessment. International Journal of Recent Contribution from Engineering, Science & IT 4(2):1\u201310. https:\/\/doi.org\/10.3991\/ijes.v4i2.5800","journal-title":"International Journal of Recent Contribution from Engineering, Science & IT"},{"issue":"2020","key":"12193_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neuroimage.2019.116235","volume":"204","author":"U Kuhl","year":"2020","unstructured":"Kuhl U, Friederici AD, Legascreen consortium, Skeide MA (2020) Early cortical surface plasticity relates to basic mathematical learning. Neuroimage 204(2020):1\u20139. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.116235","journal-title":"Neuroimage"},{"issue":"3","key":"12193_CR31","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/S0378-7206(01)00093-3","volume":"39","author":"RCW Kwok","year":"2001","unstructured":"Kwok RCW, Ma J, Vogel D, Zhou D (2001) Collaborative assessment in education: An application of a fuzzy GSS. Inf Manag 39(3):243\u2013253","journal-title":"Inf Manag"},{"issue":"2020","key":"12193_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cedpsych.2020.101879","volume":"62","author":"ID Leo","year":"2020","unstructured":"Leo ID, Muis KR (2020) Confused, now what? A Cognitive-Emotional Strategy Training (CEST) intervention for elementary students during mathematics problem solving. Contemp Educ Psychol 62(2020):101879. https:\/\/doi.org\/10.1016\/j.cedpsych.2020.101879","journal-title":"Contemp Educ Psychol"},{"key":"12193_CR33","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/1213723","volume":"2016","author":"Y Li","year":"2016","unstructured":"Li Y, Chen F, Huang W (2016) Neural plasticity following abacus training in humans: a review and future directions. Neural Plast 2016:1213723. https:\/\/doi.org\/10.1155\/2016\/1213723","journal-title":"Neural Plast"},{"issue":"3","key":"12193_CR34","doi-asserted-by":"publisher","first-page":"2455","DOI":"10.1007\/s10639-022-11205-2","volume":"28","author":"R Mehdi","year":"2023","unstructured":"Mehdi R, Nachouki M (2023) A neuro-fuzzy model for predicting and analyzing student graduation performance in computing programs. Educ Inform Technol 28(3):2455\u20132484","journal-title":"Educ Inform Technol"},{"issue":"2021","key":"12193_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.dr.2021.100964","volume":"60","author":"V Menon","year":"2021","unstructured":"Menon V, Chang H (2021) Emerging neurodevelopmental perspectives on mathematical learning. Dev Rev 60(2021):100964. https:\/\/doi.org\/10.1016\/j.dr.2021.100964","journal-title":"Dev Rev"},{"key":"12193_CR36","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1093\/scan\/nsw093","volume":"2016","author":"P Molenberghs","year":"2016","unstructured":"Molenberghs P, Trautwein FM, Bockler A, Singer T, Kanske P (2016) Neural correlates of metacognitive ability and of feeling confident: a large-scale fMRI study. Soc Cognit Affect Neurosci 2016:1942\u20131951. https:\/\/doi.org\/10.1093\/scan\/nsw093","journal-title":"Soc Cognit Affect Neurosci"},{"issue":"2017","key":"12193_CR37","doi-asserted-by":"publisher","first-page":"742","DOI":"10.1016\/j.procs.2017.11.304","volume":"120","author":"MN Muhammad","year":"2017","unstructured":"Muhammad MN, Cavus N (2017) Fuzzy DEMATEL method for identifying LMS evaluation crite-ria. Procedia Comput Sci 120(2017):742\u2013749","journal-title":"Procedia Comput Sci"},{"issue":"2022","key":"12193_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117099","volume":"201","author":"TH Nguyen","year":"2022","unstructured":"Nguyen TH, Kavuri S, Park SY, Lee M (2022) Attentive hierarchical ANFIS with interpretability for cancer diagnostic. Expert Syst Appl 201(2022):117099. https:\/\/doi.org\/10.1016\/j.eswa.2022.117099","journal-title":"Expert Syst Appl"},{"issue":"2","key":"12193_CR39","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1037\/0096-3445.129.2.242","volume":"129","author":"KN Ochsner","year":"2000","unstructured":"Ochsner KN (2000) Are affective events richly recollected or simply familiar? The experience and process of recognizing feelings past. J Exp Psychol Gen 129(2):242\u2013261","journal-title":"J Exp Psychol Gen"},{"key":"12193_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/9417109","volume":"2018","author":"D Otoo","year":"2018","unstructured":"Otoo D, Iddrisu WA, Kessie JA, Larbi E (2018) Structural model of students\u2019 interest and self-motivation to learning mathematics. Educ Res Int 2018:1\u201310. https:\/\/doi.org\/10.1155\/2018\/9417109","journal-title":"Educ Res Int"},{"issue":"1\u20131","key":"12193_CR41","doi-asserted-by":"publisher","first-page":"19","DOI":"10.9790\/5728-11111922","volume":"11","author":"N Sarala","year":"2015","unstructured":"Sarala N, Kavitha R (2015) Model of mathematics teaching: a fuzzy set approach. IOSR Journal of Mathematics 11(1\u20131):19\u201322. https:\/\/doi.org\/10.9790\/5728-11111922","journal-title":"IOSR Journal of Mathematics"},{"issue":"2013","key":"12193_CR42","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1016\/j.procs.2013.09.308","volume":"20","author":"M Sato-Ilic","year":"2013","unstructured":"Sato-Ilic M, Ilic P (2013) Fuzzy dissimilarity based multidimensional scaling and its application to collaborative learning data. Procedia Comput Sci 20(2013):490\u2013495","journal-title":"Procedia Comput Sci"},{"issue":"2","key":"12193_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1177\/002205741619600202","volume":"196","author":"AH Schoenfeld","year":"2016","unstructured":"Schoenfeld AH (2016) Learning to think mathematically: problem solving, metacognition, and sense making in mathematics. J Educ 196(2):1\u201338","journal-title":"J Educ"},{"key":"12193_CR44","volume-title":"Neutrosophic SuperHyperAlgebra and New Types of Topologies","year":"2023","unstructured":"Smarandache F, \u015eahin M, Bakbak D, Ulu\u00e7ay V, Karg\u0131n A (eds) (2023) Neutrosophic SuperHyperAlgebra and New Types of Topologies. Infinite Study"},{"issue":"2","key":"12193_CR45","doi-asserted-by":"publisher","first-page":"192","DOI":"10.2197\/ipsjjip.23.192","volume":"23","author":"SE Sorour","year":"2015","unstructured":"Sorour SE, Mine T, Goda K, Hirokawa S (2015) A predictive model to evaluate student performance. J Inform Process 23(2):192\u2013201","journal-title":"J Inform Process"},{"issue":"1","key":"12193_CR46","doi-asserted-by":"publisher","first-page":"363","DOI":"10.11591\/ijece.v7i1.pp363-373","volume":"7","author":"S Sri Andayani","year":"2017","unstructured":"Sri Andayani S, Hartati, Wardoyo R, Mardapi D (2017) Decision-making model for student assessment by unifying numerical and linguistic data. Int J Electr Comput Eng (IJECE) 7(1):363\u2013373. https:\/\/doi.org\/10.11591\/ijece.v7i1.pp363-373","journal-title":"Int J Electr Comput Eng (IJECE)"},{"key":"12193_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2021.107270","volume":"93","author":"J Stojanovi\u0107","year":"2021","unstructured":"Stojanovi\u0107 J, Petkovic D, Alarifi IM, Cao Y, Denic N, Ilic J, Assilzadeh H, Resic S, Petkovic B, Khan A, Milickovic M (2021) Application of distance learning in mathematics through adaptive neuro-fuzzy learning method. Comput Electr Eng 93:107270. https:\/\/doi.org\/10.1016\/j.compeleceng.2021.107270","journal-title":"Comput Electr Eng"},{"issue":"1","key":"12193_CR48","doi-asserted-by":"publisher","DOI":"10.1038\/s42003-021-01872-1","volume":"4","author":"K Supekar","year":"2021","unstructured":"Supekar K, Chang H, Mistry PK et al (2021) Neurocognitive modeling of latent memory processes reveals reorganization of hippocampal-cortical circuits underlying learning and efficient strategies. Commun Biol 4(1):405. https:\/\/doi.org\/10.1038\/s42003-021-01872-1","journal-title":"Commun Biol"},{"issue":"13","key":"12193_CR49","doi-asserted-by":"publisher","first-page":"8441","DOI":"10.1007\/s00500-021-05772-8","volume":"25","author":"V Ulu\u00e7ay","year":"2021","unstructured":"Ulu\u00e7ay V (2021) Q-neutrosophic soft graphs in operations management and communication network. Soft Comput 25(13):8441\u20138459","journal-title":"Soft Comput"},{"key":"12193_CR50","doi-asserted-by":"publisher","unstructured":"Ulu\u00e7ay V, \u015eahin M, Hassan N (2018) Generalized neutrosophic soft expert set for multiple-criteria decision-making. Symmetry 10(10):437. https:\/\/doi.org\/10.3390\/sym10100437","DOI":"10.3390\/sym10100437"},{"issue":"4","key":"12193_CR51","doi-asserted-by":"publisher","first-page":"587","DOI":"10.22059\/ijms.2020.289483.673801","volume":"13","author":"IR Vanani","year":"2020","unstructured":"Vanani IR, Sohrabi B (2020) A multiple adaptive neuro-fuzzy inference system for predicting ERP implementation success. Iran J Manag Stud 13(4):587\u2013621. https:\/\/doi.org\/10.22059\/ijms.2020.289483.673801","journal-title":"Iran J Manag Stud"},{"issue":"3","key":"12193_CR52","doi-asserted-by":"publisher","first-page":"402","DOI":"10.3390\/sym12030402","volume":"12","author":"WB Vasantha","year":"2020","unstructured":"Vasantha WB, Kandasamy I, Smarandache F, Devvrat V, Ghildiyal S (2020) Study of imaginative play in children using single-valued refined neutrosophic sets. Symmetry 12(3):402","journal-title":"Symmetry"},{"key":"12193_CR53","doi-asserted-by":"publisher","first-page":"89","DOI":"10.4018\/978-1-6684-7836-3.ch005","volume-title":"Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education","author":"MG Voskoglou","year":"2023","unstructured":"Voskoglou MG (2023) Application of neutrosophic sets to assessment of student learning skills. Handbook of Research on the Applications of Neutrosophic Sets Theory and Their Extensions in Education. IGI Global, pp 89\u2013110"},{"key":"12193_CR54","doi-asserted-by":"crossref","unstructured":"Wardat Y, Alali R, Jarrah AM, Alzyoudi M (2023) Neutrosophic theory framework for building mathematics teachers capacity in assessment of high school students in the United Arab Emirates. Int J Neutrosophic Sci, 21(1)","DOI":"10.54216\/IJNS.210103"},{"key":"12193_CR55","doi-asserted-by":"crossref","unstructured":"Wending L (2022) Implementing the hybrid neuro-fuzzy system to model specific learning disability in special university education programs. J Math, 2022","DOI":"10.1155\/2022\/6540542"},{"issue":"7","key":"12193_CR56","doi-asserted-by":"publisher","first-page":"8879","DOI":"10.1007\/s10639-022-11446-1","volume":"28","author":"SG Y\u0131ld\u0131z","year":"2023","unstructured":"Y\u0131ld\u0131z SG, K\u00f6rpeo\u011flu SG (2023) Prediction of students\u2019 perceptions of problem solving skills with a neuro-fuzzy model and hierarchical regression method: A quantitative study. Educ Inform Technol 28(7):8879\u20138917","journal-title":"Educ Inform Technol"},{"key":"12193_CR57","doi-asserted-by":"publisher","unstructured":"Yilmaz H, Karadayi-Usta S, Yan\u0131k S (2022) A novel neutrosophic AHP-Copeland approach for distance education: towards sustainability. Interact Learn Environ 1\u201323. https:\/\/doi.org\/10.1080\/10494820.2022.2141265","DOI":"10.1080\/10494820.2022.2141265"},{"issue":"2","key":"12193_CR58","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s41601-017-0041-5","volume":"2","author":"D Zheng","year":"2017","unstructured":"Zheng D, Eseye AT, Zhang J, Li H (2017) Short-term wind power forecasting using a double-stage hierarchical ANFIS approach for energy management in microgrids. Prot Control Mod Power Syst 2(2):1\u201310. https:\/\/doi.org\/10.1186\/s41601-017-0041-5","journal-title":"Prot Control Mod Power Syst"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-026-12193-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-026-12193-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-026-12193-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,6]],"date-time":"2026-07-06T05:36:04Z","timestamp":1783316164000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-026-12193-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":58,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["12193"],"URL":"https:\/\/doi.org\/10.1007\/s00521-026-12193-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"19 June 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 May 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 June 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"494"}}