{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T12:10:13Z","timestamp":1786968613297,"version":"build-2736575974"},"reference-count":20,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2022,5,13]]},"abstract":"<jats:p>Large scale sports events bring all kinds of opportunities, but also contain huge risks. Therefore, risk management measures in the operation of sports events is important, and risk assessment is a significant part of risk management. It is indispensable to select risk factors that have a greater impact on the event risk and analyze their impact on the event risk and the degree of impact. In this paper, the fuzzy analytic hierarchy process is used to study the risk assessment. Through the identification of risk factors, the modeling of analytic hierarchy process, the construction of fuzzy evaluation matrix and the ranking of risk factors, the importance ranking of risk factors in the operation of large-scale sports events is realized. Aiming at the fuzziness of people\u2019s judgment reflected by fuzzy analytic hierarchy process, a research method of risk assessment of large-scale sports events based on fuzzy analytic hierarchy process is proposed. Through a series of steps of risk identification and risk assessment of sports events, the risk assessment of sports events is realized, event risk factors, modeling of AHP structure, building of fuzzy judgment matrix and ranking of event risk factors, importance ranking of risk factors. The experimental results show that the consistency ratio CR = CI\/RI = 0.0193\/0.58 = 0.033 &lt; 0.1, the judgment matrix has good consistency, which shows the feasibility in the risk assessment of large-scale sports events.<\/jats:p>","DOI":"10.3233\/jcm-225984","type":"journal-article","created":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T13:27:26Z","timestamp":1646141246000},"page":"777-790","source":"Crossref","is-referenced-by-count":1,"title":["Risk assessment of large-scale sports events based on fuzzy analytic hierarchy process"],"prefix":"10.66113","volume":"22","author":[{"given":"Daofeng","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"55691","reference":[{"issue":"2","key":"10.3233\/JCM-225984_ref1","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.ijmst.2015.02.010","article-title":"Optimum mining method selection using fuzzy analytical hierarchy process-Qapiliq salt mine, Iran","volume":"25","author":"Hamed","year":"2015","journal-title":"Int J Min Sci Technol."},{"issue":"1-4","key":"10.3233\/JCM-225984_ref2","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1007\/s00170-017-0123-6","article-title":"Productivity improvement under manufacturing environment using Shainin system and fuzzy analytical hierarchy process: A case study","volume":"92","author":"Mittal","year":"2017","journal-title":"Int J Adv Manuf Technol."},{"issue":"5","key":"10.3233\/JCM-225984_ref3","doi-asserted-by":"crossref","first-page":"855","DOI":"10.3390\/ijerph15050855","article-title":"Ecological vulnerability assessment based on fuzzy analytical method and analytic hierarchy process in Yellow River Delta","volume":"15","author":"Wu","year":"2018","journal-title":"Int J Environ Res Public Health."},{"issue":"6","key":"10.3233\/JCM-225984_ref4","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1142\/S0218488515500440","article-title":"A note on the paper \u201cFuzzy analytic hierarchy process: Fallacy of the popular methods\u201d","volume":"23","author":"Fedrizzi","year":"2015","journal-title":"Int J Uncertainty, Fuzziness Knowl-Based Syst."},{"issue":"5","key":"10.3233\/JCM-225984_ref5","doi-asserted-by":"crossref","first-page":"1024","DOI":"10.1108\/IMDS-09-2015-0389","article-title":"A customer satisfaction evaluation model for logistics services using fuzzy analytic hierarchy process","volume":"116","author":"Lan","year":"2016","journal-title":"Ind Manage Data Syst."},{"issue":"2","key":"10.3233\/JCM-225984_ref6","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1007\/s41478-018-0127-0","article-title":"Secure isolation of cloud consumer\u2019s legitimacy using fuzzy analytical hierarchy process (AHP)","volume":"27","author":"Jaiganesh","year":"2019","journal-title":"J Anal."},{"key":"10.3233\/JCM-225984_ref8","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1007\/s12517-016-2316-y","article-title":"Application of fuzzy analytical hierarchy process (AHP) and prediction-area (P-A) plot for mineral prospectivity mapping: A case study from the Dananhu metallogenic belt, Xinjiang, NW China","volume":"9","author":"Du","year":"2016","journal-title":"Arabian J Geosci."},{"key":"10.3233\/JCM-225984_ref9","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1007\/s10064-015-0786-x","article-title":"GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: A case study from Wolong Giant Panda Natural Reserve, China","volume":"75","author":"Meng","year":"2016","journal-title":"Bull Eng Geol Environ."},{"issue":"2","key":"10.3233\/JCM-225984_ref10","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s10726-018-9554-1","article-title":"Utilizing the hierarchy structural fuzzy analytical network process model to evaluate critical elements of marketing strategic alliance development in mobile telecommunication industry","volume":"27","author":"Tang","year":"2018","journal-title":"Group Decis Negotiation."},{"issue":"6","key":"10.3233\/JCM-225984_ref11","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1016\/j.ijproman.2015.02.007","article-title":"Quantifying the complexity of transportation projects using the fuzzy analytic hierarchy process","volume":"33","author":"Nguyen","year":"2015","journal-title":"Int J Proj Manage."},{"issue":"1","key":"10.3233\/JCM-225984_ref12","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1007\/s00500-014-1516-1","article-title":"Trust modeling based on a combination of fuzzy analytic hierarchy process and fuzzy VIKOR","volume":"20","author":"Ashtiani","year":"2016","journal-title":"Soft Comput."},{"issue":"4","key":"10.3233\/JCM-225984_ref13","first-page":"1","article-title":"Designing integrated management criteria of creative ideation based on fuzzy delphi analytical hierarchy process","volume":"20","author":"Rahimianzarif","year":"2017","journal-title":"Int J Fuzzy Syst."},{"issue":"7","key":"10.3233\/JCM-225984_ref14","doi-asserted-by":"crossref","first-page":"2049","DOI":"10.1007\/s10098-016-1163-6","article-title":"Fuzzy analytic hierarchy process (FAHP) for multi-criteria selection of microalgae harvesting and drying processes","volume":"18","author":"Tan","year":"2016","journal-title":"Clean Technol Environ Policy."},{"key":"10.3233\/JCM-225984_ref15","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.isatra.2016.11.002","article-title":"Non-fragile sampled-data robust synchronization of uncertain delayed chaotic Lurie systems with randomly occurring controller gain fluctuation","volume":"66","author":"Shi","year":"2017","journal-title":"ISA Trans."},{"key":"10.3233\/JCM-225984_ref16","unstructured":"Ravangard R, Bahadori M, Raadabadi M, Teymourzadeh E, Alimomohammadzadeh K, Mehrabian F. A model for the development of hospital beds using Fuzzy Analytical Hierarchy Process (Fuzzy AHP). Iran J Public Health. 2017; 46(11): 1555-1562."},{"issue":"1","key":"10.3233\/JCM-225984_ref17","first-page":"5","article-title":"A fuzzy logic-based method for risk assessment of bridges during construction","volume":"26","author":"Cheng","year":"2019","journal-title":"J Harbin Inst Technol (New Ser.)"},{"key":"10.3233\/JCM-225984_ref18","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.ssci.2017.10.025","article-title":"A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system","volume":"103","author":"Ilbahar","year":"2018","journal-title":"Saf Sci."},{"key":"10.3233\/JCM-225984_ref19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patrec.2021.01.008","article-title":"Large group activity security risk assessment and risk early warning based on random forest algorithm","volume":"144","author":"Chen","year":"2021","journal-title":"Pattern Recognit Lett."},{"key":"10.3233\/JCM-225984_ref20","doi-asserted-by":"crossref","unstructured":"Gao NS, Wu JG, Lu K, Zhong HB. Hybrid composite meta-porous structure for improving and broadening sound absorption. Mech Syst Signal Process. 2021; 154: 107504.","DOI":"10.1016\/j.ymssp.2020.107504"},{"key":"10.3233\/JCM-225984_ref21","doi-asserted-by":"crossref","unstructured":"Zhou YM, Tian L, Zhu C, Jin X, Sun Y. Video coding optimization for virtual reality 360-degree source. IEEE J Sel Top Signal Process. 2020; 14(1): 118-129.","DOI":"10.1109\/JSTSP.2019.2957952"}],"container-title":["Journal of Computational Methods in Sciences and Engineering"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JCM-225984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:06:47Z","timestamp":1776809207000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JCM-225984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,13]]},"references-count":20,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jcm-225984","relation":{},"ISSN":["1472-7978","1875-8983"],"issn-type":[{"value":"1472-7978","type":"print"},{"value":"1875-8983","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,13]]}}}