{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T00:55:53Z","timestamp":1760576153837,"version":"build-2065373602"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T00:00:00Z","timestamp":1748044800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T00:00:00Z","timestamp":1748044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Anhui Provincial Hospital West District 2023 Hospital-level Youth Fund","award":["2023YJQN013"],"award-info":[{"award-number":["2023YJQN013"]}]},{"name":"Anhui Jianzhu University 2023 School-Level Attracted Talents and Doctoral Start-up Fund","award":["2023QDZ25"],"award-info":[{"award-number":["2023QDZ25"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1007\/s13042-025-02663-4","type":"journal-article","created":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T04:01:24Z","timestamp":1748059284000},"page":"7425-7448","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A self-organized consensus-reaching model considering personalized individual semantic continuous learning for LSGDM: application for medical consumables assessment"],"prefix":"10.1007","volume":"16","author":[{"given":"Chai","family":"Yang","sequence":"first","affiliation":[]},{"given":"Xiaoxuan","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Decai","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Yanjun","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,24]]},"reference":[{"issue":"6","key":"2663_CR1","doi-asserted-by":"crossref","DOI":"10.1111\/hex.70119","volume":"27","author":"J Atfeh","year":"2024","unstructured":"Atfeh J, Guerre P, Berkesse A et al (2024) Involving patients in hospital-based health technology assessment of innovative medical devices: Adapting to a specific local context and lessons learned from the assessment of an ex vivo perfusion system of human donor hearts. Health Expect 27(6):e70119","journal-title":"Health Expect"},{"issue":"2\u20133","key":"2663_CR2","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/0098-3004(84)90020-7","volume":"10","author":"JC Bezdek","year":"1984","unstructured":"Bezdek JC, Ehrlich R, Full W (1984) FCM: The fuzzy c-means clustering algorithm. Comput Geosci 10(2\u20133):191\u2013203","journal-title":"Comput Geosci"},{"issue":"4","key":"2663_CR3","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/0165-0114(78)90017-9","volume":"1","author":"JC Bezdek","year":"1978","unstructured":"Bezdek JC, Spillman B, Spillman R (1978) A fuzzy relation space for group decision theory. Fuzzy Sets Syst 1(4):255\u2013268","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"2663_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12962-024-00513-8","volume":"22","author":"J Bidonde","year":"2024","unstructured":"Bidonde J, Lauvrak V, Ananthakrishnan A et al (2024) Topic identification, selection, and prioritization for health technology assessment in selected countries: a mixed study design. Cost Effect Resour Alloc 22(1):1\u201316","journal-title":"Cost Effect Resour Alloc"},{"issue":"3","key":"2663_CR5","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1016\/j.ejor.2013.04.046","volume":"230","author":"FJ Cabrerizo","year":"2013","unstructured":"Cabrerizo FJ, Herrera-Viedma E, Pedrycz W (2013) A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts. Eur J Oper Res 230(3):624\u2013633","journal-title":"Eur J Oper Res"},{"key":"2663_CR6","volume":"133","author":"MS Cao","year":"2024","unstructured":"Cao MS, Chiclana F, Liu YJ et al (2024) A bilateral negotiation mechanism by dynamic harmony threshold for group consensus decision making. Eng Appl Artif Intell 133:108225","journal-title":"Eng Appl Artif Intell"},{"issue":"4","key":"2663_CR7","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1109\/TCYB.2014.2336808","volume":"45","author":"YC Dong","year":"2015","unstructured":"Dong YC, Herrera-Viedma E (2015) Consistency-driven automatic methodology to set interval numerical scales of 2-tuple linguistic term sets and its use in the linguistic GDM with preference relation. IEEE Trans Cybern 45(4):780\u2013792","journal-title":"IEEE Trans Cybern"},{"issue":"2","key":"2663_CR8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3533432","volume":"23","author":"YC Dong","year":"2023","unstructured":"Dong YC, Ran Q, Chao XR et al (2023) Personalized individual semantics learning to support a large-scale linguistic consensus process. ACM Trans Internet Technol 23(2):1\u201327","journal-title":"ACM Trans Internet Technol"},{"key":"2663_CR9","doi-asserted-by":"crossref","first-page":"4999","DOI":"10.1007\/s13042-024-02204-5","volume":"15","author":"LH Han","year":"2024","unstructured":"Han LH, Wang YC, Ma YC (2024) Dynamic event-triggered non-fragile dissipative filtering for interval type-2 fuzzy Markov jump systems. Int J Mach Learn Cybern 15:4999\u20135013","journal-title":"Int J Mach Learn Cybern"},{"issue":"2","key":"2663_CR10","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/0165-0114(95)00162-X","volume":"79","author":"F Herrera","year":"1996","unstructured":"Herrera F, Herrera-Viedma E, Verdegay JL (1996) Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets Syst 79(2):175\u2013190","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"2663_CR11","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1109\/TSMC.2020.3043016","volume":"51","author":"E Herrera-Viedma","year":"2021","unstructured":"Herrera-Viedma E, Palomares I, Li CC et al (2021) Revisiting fuzzy and linguistic decision making: Scenarios and challenges for making wiser decisions in a better way. IEEE Trans Syst Man Cybern Syst 51(1):191\u2013208","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"2663_CR12","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.inffus.2019.12.004","volume":"58","author":"T Lesort","year":"2020","unstructured":"Lesort T, Lomonaco V, Stoian A et al (2020) Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Inf fusion 58:52\u201368","journal-title":"Inf fusion"},{"issue":"4","key":"2663_CR13","doi-asserted-by":"crossref","first-page":"2613","DOI":"10.1109\/TSMC.2023.3344810","volume":"54","author":"Y Li","year":"2024","unstructured":"Li Y, Chen MQ, Li CC et al (2024) Measuring additive consistency of linguistic preference relations in a personalized-individual-semantics context: A systematic investigation with axiomatic design. IEEE Trans Syst Man Cybern Syst 54(4):2613\u20132624","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"2","key":"2663_CR14","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1109\/TFUZZ.2018.2857720","volume":"27","author":"CC Li","year":"2019","unstructured":"Li CC, Dong YC, Herrera F (2019) A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and opposing consensus groups. IEEE Trans Fuzzy Syst 27(2):221\u2013233","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"2663_CR15","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1109\/TSMC.2020.3031086","volume":"52","author":"CC Li","year":"2022","unstructured":"Li CC, Dong YC, Pedrycz W et al (2022) Integrating continual personalized individual semantics learning in consensus reaching in linguistic group decision making. IEEE Trans Syst Man Cybern Syst 52(3):1525\u20131536","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"1","key":"2663_CR16","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1109\/TSMC.2024.3472699","volume":"55","author":"ZL Li","year":"2025","unstructured":"Li ZL, Zhang Z (2025) Modeling personalized individual semantics in multicriteria decision making with incomplete linguistic preference relations: a preference disaggregation perspective. IEEE Trans Syst Man Cybern Syst 55(1):390\u2013403","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"2663_CR17","volume":"107","author":"HC Liao","year":"2022","unstructured":"Liao HC, Wu Z, Tang M et al (2022) An interactive consensus reaching model with updated weights of clusters in large-scale group decision making. Eng Appl Artif Intell 107:104532","journal-title":"Eng Appl Artif Intell"},{"issue":"9","key":"2663_CR18","doi-asserted-by":"crossref","first-page":"889","DOI":"10.3390\/healthcare12090889","volume":"12","author":"I Lipska","year":"2024","unstructured":"Lipska I, Di Bidino R, Niewada M et al (2024) Overcoming barriers in hospital-based health technology assessment (HB-HTA): International expert panel consensus. Healthcare 12(9):889","journal-title":"Healthcare"},{"key":"2663_CR19","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.ins.2022.12.114","volume":"624","author":"PD Liu","year":"2023","unstructured":"Liu PD, Dang R, Wang P et al (2023) Unit consensus cost-based approach for group decision-making with incomplete probabilistic linguistic preference relations. Inf Sci 624:849\u2013880","journal-title":"Inf Sci"},{"key":"2663_CR20","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1186\/s41256-023-00339-6","volume":"9","author":"SM Liu","year":"2024","unstructured":"Liu SM, Xia Y, Yang Y et al (2024) Mapping of health technology assessment in China: A comparative study between 2016 and 2021. Global Health Res Policy 9:4. https:\/\/doi.org\/10.1186\/s41256-023-00339-6","journal-title":"Global Health Res Policy"},{"key":"2663_CR21","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.inffus.2023.03.009","volume":"96","author":"HB Liu","year":"2023","unstructured":"Liu HB, Xu ZY, Jiang L et al (2023) Multi-criteria group decision making with preference approval structures: A personalized individual semantics approach. Inf Fusion 96:80\u201391","journal-title":"Inf Fusion"},{"issue":"8","key":"2663_CR22","doi-asserted-by":"crossref","first-page":"5381","DOI":"10.1002\/int.22796","volume":"37","author":"YY Liu","year":"2022","unstructured":"Liu YY, Yang YL (2022) An extended VIKOR method based on particle swarm optimization and novel operations of probabilistic linguistic term sets for multicriteria group decision-making problem. Int J Intell Syst 37(8):5381\u20135424","journal-title":"Int J Intell Syst"},{"key":"2663_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s40314-021-01684-3","author":"YY Liu","year":"2022","unstructured":"Liu YY, Yang YL (2022) A novel similarity-based consensus model for probabilistic linguistic sets and its application in multi-attribute large-scale group decision making. Comput Appl Math. https:\/\/doi.org\/10.1007\/s40314-021-01684-3","journal-title":"Comput Appl Math"},{"key":"2663_CR24","volume":"224","author":"ZL Lu","year":"2023","unstructured":"Lu ZL, Liu F, Zhang JW et al (2023) Optimizing consistency and consensus in group decision making based on relative projection between multiplicative reciprocal matrices. Expert Syst Appl 224:119948","journal-title":"Expert Syst Appl"},{"issue":"1","key":"2663_CR25","volume":"40","author":"L Lyu","year":"2024","unstructured":"Lyu L, Shi W, Kidholm K et al (2024) Introduction of hospital-based health technology assessment in China: Experiences from seven pilot hospitals. Int J Technol Assess Health Care 40(1):e20","journal-title":"Int J Technol Assess Health Care"},{"key":"2663_CR26","volume":"662","author":"XL Ma","year":"2024","unstructured":"Ma XL, Zhu JX, Kou G et al (2024) Consistency improvement and local consensus adjustment for probabilistic linguistic preference relations considering personalized individual semantics. Inf Sci 662:120233","journal-title":"Inf Sci"},{"key":"2663_CR27","doi-asserted-by":"crossref","DOI":"10.1016\/j.techsoc.2020.101307","volume":"62","author":"SS Mladenovic","year":"2020","unstructured":"Mladenovic SS, Milovancevic M, Mladenovic I et al (2020) Identification of the important variables for prediction of individual medical costs billed by health insurance. Technol Soc 62:101307","journal-title":"Technol Soc"},{"issue":"1","key":"2663_CR28","doi-asserted-by":"crossref","first-page":"15","DOI":"10.20982\/tqmp.09.1.p015","volume":"9","author":"L Morissette","year":"2013","unstructured":"Morissette L, Chartier S (2013) The k-means clustering technique: General considerations and implementation in mathematica. Tutor Quant Methods Psychol 9(1):15\u201324","journal-title":"Tutor Quant Methods Psychol"},{"key":"2663_CR29","volume":"154","author":"JJ Peng","year":"2024","unstructured":"Peng JJ, Chen XG (2024) A large-scale group decision-making approach based on hesitancy degrees and non-cooperative behaviors with picture fuzzy information. Appl Soft Comput 154:111360","journal-title":"Appl Soft Comput"},{"key":"2663_CR30","volume":"649","author":"JD Qin","year":"2023","unstructured":"Qin JD, Wang D, Liang YY (2023) Social network-driven bi-level minimum cost consensus model for large-scale group decision-making: A perspective of structural holes. Inf Sci 649:119678","journal-title":"Inf Sci"},{"key":"2663_CR31","volume":"657","author":"YF Shen","year":"2024","unstructured":"Shen YF, Ma XL, Xu ZS et al (2024) Opinion evolution and dynamic trust-driven consensus model in large-scale group decision-making under incomplete information. Inf Sci 657:119925","journal-title":"Inf Sci"},{"issue":"4","key":"2663_CR32","doi-asserted-by":"crossref","first-page":"840","DOI":"10.1080\/01605682.2021.1873079","volume":"73","author":"YM Song","year":"2022","unstructured":"Song YM, Li GX, Ergu D et al (2022) An optimisation-based method to conduct consistency and consensus in group decision making under probabilistic uncertain linguistic preference relations. J Oper Res Soc 73(4):840\u2013854","journal-title":"J Oper Res Soc"},{"key":"2663_CR33","volume":"191","author":"SP Wan","year":"2022","unstructured":"Wan SP, Yan J, Dong JY (2022) Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and application to COVID-19 surveillance. Expert Syst Appl 191:116328","journal-title":"Expert Syst Appl"},{"key":"2663_CR34","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.1007\/s40815-024-01738-8","volume":"26","author":"YJ Wang","year":"2024","unstructured":"Wang YJ, Yan B, Xia W et al (2024) Adaptive bi-directional consensus reaching model with social influence evolution for large-scale group decision-making with an application to observation scheme selection. Int J Fuzzy Syst 26:2337\u20132358","journal-title":"Int J Fuzzy Syst"},{"key":"2663_CR35","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/01621459.1963.10500845","volume":"58","author":"JH Ward","year":"1963","unstructured":"Ward JH (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236\u2013244","journal-title":"J Am Stat Assoc"},{"key":"2663_CR36","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.inffus.2019.06.003","volume":"53","author":"J Xiao","year":"2020","unstructured":"Xiao J, Wang XL, Zhang HJ (2020) Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making. Inf Fusion 53:20\u201334","journal-title":"Inf Fusion"},{"issue":"8","key":"2663_CR37","first-page":"705","volume":"44","author":"J Xiao","year":"2011","unstructured":"Xiao J, Zhang Y, Fu C (2011) Comparison between methods of interval number ranking based on possibility. J Tianjin Univ 44(8):705\u2013711","journal-title":"J Tianjin Univ"},{"key":"2663_CR38","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1023\/B:FODM.0000036864.33950.1b","volume":"3","author":"ZS Xu","year":"2004","unstructured":"Xu ZS (2004) On compatibility of interval fuzzy preference relations. Fuzzy Optim Decis Making 3:217\u2013225","journal-title":"Fuzzy Optim Decis Making"},{"issue":"1","key":"2663_CR39","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.ejor.2006.11.011","volume":"184","author":"ZS Xu","year":"2008","unstructured":"Xu ZS, Chen J (2008) Some models for deriving the priority weights from interval fuzzy preference relations. Eur J Oper Res 184(1):266\u2013280","journal-title":"Eur J Oper Res"},{"key":"2663_CR40","doi-asserted-by":"publisher","DOI":"10.1186\/s12871-024-02734-z","author":"H Yang","year":"2024","unstructured":"Yang H, Hu JC, Luo H et al (2024) Effects of different forced-air warming systems on the core temperature of patients: A manikin and multi-center clinical study. BMC Anesthesiol. https:\/\/doi.org\/10.1186\/s12871-024-02734-z","journal-title":"BMC Anesthesiol"},{"key":"2663_CR41","doi-asserted-by":"crossref","first-page":"412","DOI":"10.1109\/JRFID.2024.3392682","volume":"8","author":"C Yang","year":"2024","unstructured":"Yang C, Hu XX, Zhu QL et al (2024) Individual medical costs prediction methods based on clinical notes and DRGs. IEEE J Radio Freq Identif 8:412\u2013418","journal-title":"IEEE J Radio Freq Identif"},{"key":"2663_CR42","doi-asserted-by":"publisher","DOI":"10.1177\/00469580211022911","author":"C Yang","year":"2021","unstructured":"Yang C, Wang YJ, Hu XX et al (2021) Improving hospital based medical procurement decisions with health technology assessment and multi-criteria decision analysis. INQUIRY. https:\/\/doi.org\/10.1177\/00469580211022911","journal-title":"INQUIRY"},{"issue":"3","key":"2663_CR43","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/0020-0255(75)90036-5","volume":"8","author":"LA Zadeh","year":"1975","unstructured":"Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-I. Inf Sci 8(3):199\u2013249","journal-title":"Inf Sci"},{"issue":"2","key":"2663_CR44","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1109\/91.493904","volume":"4","author":"LA Zadeh","year":"1996","unstructured":"Zadeh LA (1996) Fuzzy logic=computing with words. IEEE Trans Fuzzy Syst 4(2):103\u2013111","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"2663_CR45","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1109\/TFUZZ.2019.2906856","volume":"28","author":"HJ Zhang","year":"2020","unstructured":"Zhang HJ, Xiao J, Palomares I et al (2020) Linguistic distribution-based optimization approach for large-scale GDM with comparative linguistic information: An application on the selection of wastewater disinfection technology. IEEE Trans Fuzzy Syst 28(2):376\u2013389","journal-title":"IEEE Trans Fuzzy Syst"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02663-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-025-02663-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-025-02663-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T16:58:44Z","timestamp":1760547524000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-025-02663-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,24]]},"references-count":45,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["2663"],"URL":"https:\/\/doi.org\/10.1007\/s13042-025-02663-4","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2025,5,24]]},"assertion":[{"value":"11 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 April 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 May 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Informed consent was obtained for all data used in this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed Consent"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}