{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T07:08:08Z","timestamp":1776841688672,"version":"3.51.2"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T00:00:00Z","timestamp":1700438400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T00:00:00Z","timestamp":1700438400000},"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":["Neural Comput & Applic"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1007\/s00521-023-09046-2","type":"journal-article","created":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T07:02:31Z","timestamp":1700463751000},"page":"7935-7945","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The using effect of fuzzy analytic hierarchy process in project engineering risk management"],"prefix":"10.1007","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-3382-2814","authenticated-orcid":false,"given":"Tao","family":"Dong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqiong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,11,20]]},"reference":[{"issue":"2","key":"9046_CR1","doi-asserted-by":"crossref","first-page":"2000808","DOI":"10.1002\/aenm.202000808","volume":"11","author":"X Zhang","year":"2021","unstructured":"Zhang X, Ju Z, Zhu Y et al (2021) Multiscale understanding and architecture design of high energy\/power lithium-ion battery electrodes. Adv Energy Mater 11(2):2000808","journal-title":"Adv Energy Mater"},{"key":"9046_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cosrev.2018.08.001","volume":"30","author":"M Faheem","year":"2018","unstructured":"Faheem M, Shah SBH, Butt RA et al (2018) Smart grid communication and information technologies in the perspective of industry 4.0: opportunities and challenges. Comput Sci Rev 30:1\u201330","journal-title":"Comput Sci Rev"},{"issue":"2","key":"9046_CR3","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1109\/COMST.2022.3158270","volume":"24","author":"Y Wu","year":"2022","unstructured":"Wu Y, Dai HN, Wang H et al (2022) A survey of intelligent network slicing management for industrial IoT: integrated approaches for smart transportation, smart energy, and smart factory. IEEE Commun Surv Tutor 24(2):1175\u20131211","journal-title":"IEEE Commun Surv Tutor"},{"key":"9046_CR4","doi-asserted-by":"crossref","first-page":"746","DOI":"10.1016\/j.procs.2021.01.227","volume":"181","author":"T Thesing","year":"2021","unstructured":"Thesing T, Feldmann C, Burchardt M (2021) Agile versus waterfall project management: decision model for selecting the appropriate approach to a project. Procedia Comput Sci 181:746\u2013756","journal-title":"Procedia Comput Sci"},{"key":"9046_CR5","doi-asserted-by":"crossref","first-page":"103553","DOI":"10.1016\/j.autcon.2021.103553","volume":"124","author":"Y Lu","year":"2021","unstructured":"Lu Y, Gong P, Tang Y et al (2021) BIM-integrated construction safety risk assessment at the design stage of building projects. Autom Constr 124:103553","journal-title":"Autom Constr"},{"key":"9046_CR6","doi-asserted-by":"crossref","first-page":"107454","DOI":"10.1016\/j.ecolind.2021.107454","volume":"124","author":"H Wang","year":"2021","unstructured":"Wang H, Liu X, Zhao C et al (2021) Spatial-temporal pattern analysis of landscape ecological risk assessment based on land use\/land cover change in Baishuijiang National nature reserve in Gansu Province, China. Ecol Ind 124:107454","journal-title":"Ecol Ind"},{"key":"9046_CR7","doi-asserted-by":"crossref","first-page":"102113","DOI":"10.1016\/j.ijdrr.2021.102113","volume":"56","author":"E Yildirim","year":"2021","unstructured":"Yildirim E, Demir I (2021) An integrated flood risk assessment and mitigation framework: a case study for middle Cedar River Basin, Iowa, US. Int J Disast Risk Reduct 56:102113","journal-title":"Int J Disast Risk Reduct"},{"key":"9046_CR8","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.knosys.2018.04.014","volume":"152","author":"KV Shihabudheen","year":"2018","unstructured":"Shihabudheen KV, Pillai GN (2018) Recent advances in the neuro-fuzzy system: a survey. Knowl-Based Syst 152:136\u2013162","journal-title":"Knowl-Based Syst"},{"key":"9046_CR9","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.agrformet.2018.12.015","volume":"266","author":"A Jaafari","year":"2019","unstructured":"Jaafari A, Zenner EK, Panahi M et al (2019) Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability. Agric For Meteorol 266:198\u2013207","journal-title":"Agric For Meteorol"},{"key":"9046_CR10","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.jhydrol.2019.01.062","volume":"571","author":"A Azad","year":"2019","unstructured":"Azad A, Manoochehri M, Kashi H et al (2019) Comparative evaluation of intelligent algorithms to improve adaptive neuro-fuzzy inference system performance in precipitation modeling. J Hydrol 571:214\u2013224","journal-title":"J Hydrol"},{"issue":"4","key":"9046_CR11","doi-asserted-by":"crossref","first-page":"04018028","DOI":"10.1061\/(ASCE)IS.1943-555X.0000448","volume":"24","author":"Y Yu","year":"2018","unstructured":"Yu Y, Darko A, Chan APC et al (2018) Evaluation and ranking of risk factors in transnational public-private partnerships projects: a case study based on the intuitionistic fuzzy analytic hierarchy process. J Infrastruct Syst 24(4):04018028","journal-title":"J Infrastruct Syst"},{"key":"9046_CR12","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.ssci.2018.10.017","volume":"112","author":"GK Koulinas","year":"2019","unstructured":"Koulinas GK, Marhavilas PK, Demesouka OE et al (2019) Risk analysis and assessment in the worksites using the fuzzy-analytical hierarchy process and a quantitative technique\u2013A case study for the Greek construction sector. Saf Sci 112:96\u2013104","journal-title":"Saf Sci"},{"key":"9046_CR13","doi-asserted-by":"crossref","first-page":"120569","DOI":"10.1016\/j.energy.2021.120569","volume":"228","author":"G Qin","year":"2021","unstructured":"Qin G, Zhang M, Yan Q et al (2021) A comprehensive evaluation of regional energy internet using a fuzzy analytic hierarchy process based on cloud model: a case in China. Energy 228:120569","journal-title":"Energy"},{"issue":"5","key":"9046_CR14","first-page":"439","volume":"21","author":"D Sarkar","year":"2021","unstructured":"Sarkar D, Singh M (2021) Development of a risk index for mass rapid transit system project in Western India through the application of fuzzy analytical hierarchy process (FAHP). Int J Constr Manag 21(5):439\u2013451","journal-title":"Int J Constr Manag"},{"issue":"10","key":"9046_CR15","doi-asserted-by":"crossref","first-page":"4015","DOI":"10.1108\/ECAM-11-2020-0945","volume":"29","author":"S Durdyev","year":"2022","unstructured":"Durdyev S, Mohandes SR, Mahdiyar A et al (2022) What drives clients to purchase green buildings?: the cybernetic fuzzy analytic hierarchy process approach. Eng Constr Archit Manag 29(10):4015\u20134039","journal-title":"Eng Constr Archit Manag"},{"key":"9046_CR16","doi-asserted-by":"crossref","first-page":"110453","DOI":"10.1016\/j.oceaneng.2021.110453","volume":"245","author":"H D\u00edaz","year":"2022","unstructured":"D\u00edaz H, Teixeira AP, Soares CG (2022) Application of Monte Carlo and fuzzy analytic hierarchy processes for ranking floating wind farm locations. Ocean Eng 245:110453","journal-title":"Ocean Eng"},{"issue":"3","key":"9046_CR17","first-page":"413","volume":"22","author":"M Hamza","year":"2022","unstructured":"Hamza M, Shahid S, Bin Hainin MR et al (2022) Construction labor productivity: a review of factors identified. Int J Constr Manag 22(3):413\u2013425","journal-title":"Int J Constr Manag"},{"issue":"2","key":"9046_CR18","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.ijproman.2020.06.007","volume":"39","author":"MR Guertler","year":"2021","unstructured":"Guertler MR, Sick N (2021) Exploring the enabling effects of project management for SMEs in adopting open innovation\u2013a framework for partner search and selection in open innovation projects. Int J Project Manage 39(2):102\u2013114","journal-title":"Int J Project Manage"},{"issue":"17","key":"9046_CR19","doi-asserted-by":"crossref","first-page":"3185","DOI":"10.3390\/math10173185","volume":"10","author":"MJ Bidel","year":"2022","unstructured":"Bidel MJ, Safari H, AmoozadMahdiraji H et al (2022) A framework for project delivery systems via hybrid fuzzy risk analysis: application and extension in ICT. Mathematics 10(17):3185","journal-title":"Mathematics"},{"issue":"4","key":"9046_CR20","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1080\/07347332.2019.1703065","volume":"38","author":"SE Morris","year":"2020","unstructured":"Morris SE, Anderson CM, Tarquini SJ et al (2020) A standardized approach to bereavement risk-screening: a quality improvement project. J Psychosoc Oncol 38(4):406\u2013417","journal-title":"J Psychosoc Oncol"},{"issue":"1","key":"9046_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18485\/ijdrm.2019.1.1.1","volume":"1","author":"X Guo","year":"2019","unstructured":"Guo X, Kapucu N (2019) Examining stakeholder participation in social stability risk assessment for mega projects using network analysis. Int J Disast Risk Manag 1(1):1\u201331","journal-title":"Int J Disast Risk Manag"},{"issue":"8","key":"9046_CR22","doi-asserted-by":"crossref","first-page":"6622","DOI":"10.3390\/su15086622","volume":"15","author":"S Zhao","year":"2023","unstructured":"Zhao S, Su X, Li J et al (2023) Research on wind power project risk management based on structural equation and catastrophe theory. Sustainability 15(8):6622","journal-title":"Sustainability"},{"issue":"4","key":"9046_CR23","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1038\/s41416-021-01550-3","volume":"126","author":"AK Clift","year":"2022","unstructured":"Clift AK, Dodwell D, Lord S et al (2022) The current status of risk-stratified breast screening. Br J Cancer 126(4):533\u2013550","journal-title":"Br J Cancer"},{"key":"9046_CR24","doi-asserted-by":"crossref","first-page":"116374","DOI":"10.1016\/j.eswa.2021.116374","volume":"192","author":"L Lu","year":"2022","unstructured":"Lu L, Goerlandt F, Banda OAV et al (2022) Developing fuzzy logic strength of evidence index and application in Bayesian networks for system risk management. Expert Syst Appl 192:116374","journal-title":"Expert Syst Appl"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-09046-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-023-09046-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-023-09046-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T01:30:18Z","timestamp":1743903018000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-023-09046-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,20]]},"references-count":24,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["9046"],"URL":"https:\/\/doi.org\/10.1007\/s00521-023-09046-2","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,20]]},"assertion":[{"value":"22 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 September 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 November 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There is no conflict of interest among the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}