{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T03:14:38Z","timestamp":1778814878334,"version":"3.51.4"},"reference-count":89,"publisher":"Elsevier BV","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.elsevier.com\/tdm\/userlicense\/1.0\/"},{"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.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.asoc.2026.115064","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T08:14:50Z","timestamp":1773908090000},"page":"115064","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Neural network based fuzzy cognitive reliability and error analysis method for risk assessment of hydrogen valley design under uncertain data"],"prefix":"10.1016","volume":"195","author":[{"given":"Elifnaz","family":"Olga\u00e7","sequence":"first","affiliation":[]},{"given":"Ali","family":"Kara\u015fan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0142-4257","authenticated-orcid":false,"given":"\u0130hsan","family":"Kaya","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"71","key":"10.1016\/j.asoc.2026.115064_bib1","doi-asserted-by":"crossref","first-page":"35027","DOI":"10.1016\/j.ijhydene.2021.08.070","article-title":"Prospect of hydrogen energy in Asia-Pacific: a perspective review on techno-socio-economy nexus","volume":"46","author":"Aditiya","year":"2021","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib2","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1016\/j.ijhydene.2025.01.033","article-title":"Hydrogen as an alternative fuel: a comprehensive review of challenges and opportunities in production, storage, and transportation","volume":"102","author":"Hossain Bhuiyan","year":"2025","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.enconman.2025.119562","article-title":"RES-electrolyser coupling within TRIERES hydrogen valley \u2013 a flexible technoeconomic assessment tool","volume":"327","author":"Skordoulias","year":"2025","journal-title":"Energy Convers. Manag."},{"key":"10.1016\/j.asoc.2026.115064_bib4","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2022.112685","article-title":"Technical, economic and environmental issues related to electrolysers capacity targets according to the Italian Hydrogen Strategy: a critical analysis","volume":"166","author":"Pastore","year":"2022","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.asoc.2026.115064_bib5","first-page":"193","article-title":"Hazards identification and risk management of hydrogen production and storage installations","volume":"96","author":"Perelli","year":"2022","journal-title":"Chem. Eng. Trans."},{"key":"10.1016\/j.asoc.2026.115064_bib6","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."},{"issue":"1","key":"10.1016\/j.asoc.2026.115064_bib7","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1111\/j.1539-6924.1981.tb01350.x","article-title":"On the quantitative definition of risk","volume":"1","author":"Kaplan","year":"1981","journal-title":"Risk Anal."},{"issue":"26","key":"10.1016\/j.asoc.2026.115064_bib8","doi-asserted-by":"crossref","first-page":"13135","DOI":"10.1016\/j.ijhydene.2019.03.227","article-title":"Fuzzy-inference-based failure mode and effects analysis of the hydrogen production process using Thermococcus onnurineus NA1","volume":"44","author":"Park","year":"2019","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib9","article-title":"Safety evaluation modelling of hydrogen energy industrial chain for transportation-energy integration system in China","author":"Du","year":"2023","journal-title":"J. Phys. Conf. Ser."},{"key":"10.1016\/j.asoc.2026.115064_bib10","doi-asserted-by":"crossref","first-page":"9","DOI":"10.2516\/stet\/2024004","article-title":"A review on hazards and risks to pipeline operation under transporting hydrogen energy and hydrogen-mixed natural gas","volume":"79","author":"Li","year":"2024","journal-title":"Sci. Technol. Energy Transit."},{"issue":"2","key":"10.1016\/j.asoc.2026.115064_bib11","article-title":"Using multicriteria decision making to evaluate the risk of hydrogen energy storage and transportation in cities","volume":"15","author":"Sun","year":"2023","journal-title":"Sustain."},{"issue":"6","key":"10.1016\/j.asoc.2026.115064_bib12","doi-asserted-by":"crossref","first-page":"3017","DOI":"10.3390\/en6063017","article-title":"A combined fuzzy-ahp and fuzzy-GRA methodology for hydrogen energy storage method selection in Turkey","volume":"6","author":"Gumus","year":"2013","journal-title":"Energies"},{"key":"10.1016\/j.asoc.2026.115064_bib13","doi-asserted-by":"crossref","DOI":"10.1016\/j.est.2021.102580","article-title":"Risk assessment of wind-photovoltaic-hydrogen storage projects using an improved fuzzy synthetic evaluation approach based on cloud model: a case study in China","volume":"38","author":"Wu","year":"2021","journal-title":"J. Energy Storage"},{"key":"10.1016\/j.asoc.2026.115064_bib14","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1016\/j.ijhydene.2023.11.255","article-title":"Flammable gas leakage risk assessment for methanol to hydrogen refueling stations and liquid hydrogen refueling stations","volume":"54","author":"Wang","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib15","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1016\/j.ijhydene.2023.08.248","article-title":"Hydrogen safety: An obstacle that must be overcome on the road towards future hydrogen economy","volume":"51","author":"Guo","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"issue":"8","key":"10.1016\/j.asoc.2026.115064_bib16","doi-asserted-by":"crossref","first-page":"1376","DOI":"10.3390\/su9081376","article-title":"Environmental and socio-economic analysis of naphtha reforming hydrogen energy using input-output tables: a case study from Japan","volume":"9","author":"Hienuki","year":"2017","journal-title":"Sustainability"},{"issue":"57","key":"10.1016\/j.asoc.2026.115064_bib17","doi-asserted-by":"crossref","first-page":"24121","DOI":"10.1016\/j.ijhydene.2022.04.210","article-title":"Techno-economic assessment of green hydrogen valley providing multiple end-users","volume":"47","author":"Petrollese","year":"2022","journal-title":"Int. J. Hydrog. Energy"},{"issue":"3","key":"10.1016\/j.asoc.2026.115064_bib18","doi-asserted-by":"crossref","DOI":"10.1007\/s12053-024-10194-0","article-title":"Power-to-X strategies for smart energy regions: a vision for green hydrogen valleys","volume":"17","author":"Battaglia","year":"2024","journal-title":"Energy Effic."},{"key":"10.1016\/j.asoc.2026.115064_bib19","series-title":"Cognitive Reliability and Error Analysis Method (CREAM)","author":"Hollnagel","year":"1998"},{"issue":"4","key":"10.1016\/j.asoc.2026.115064_bib20","first-page":"6939","article-title":"Additive consistency of q-rung orthopair fuzzy preference relations with application to risk analysis","volume":"44","author":"Zhang","year":"2023","journal-title":"J. Intell. Fuzzy Syst."},{"key":"10.1016\/j.asoc.2026.115064_bib21","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.119445","article-title":"Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic","volume":"216","author":"Zhang","year":"2023","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2026.115064_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.127916","article-title":"Risk prioritization of high-speed trains with acceptably multiplicative consistency of trapezoidal fuzzy preference relations","volume":"284","author":"Zhang","year":"2025","journal-title":"Expert Syst. Appl."},{"issue":"5","key":"10.1016\/j.asoc.2026.115064_bib23","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1109\/72.159058","article-title":"Multilayer perceptron, fuzzy sets, and classification","volume":"3","author":"Pal","year":"1992","journal-title":"IEEE Trans. Neural Netw."},{"key":"10.1016\/j.asoc.2026.115064_bib24","article-title":"On using genetic algorithm optimized activation functions to increase neural network accuracy","author":"Rodi","year":"2014","journal-title":"AIAA Aviat. 2014 15th AIAA\/ISSMO Multidiscip. Anal. Optim. Conf."},{"issue":"11","key":"10.1016\/j.asoc.2026.115064_bib25","doi-asserted-by":"crossref","first-page":"7263","DOI":"10.1016\/j.ijhydene.2016.07.014","article-title":"Overview of the DOE hydrogen safety, codes and standards program, part 3: advances in research and development to enhance the scientific basis for hydrogen regulations, codes and standards","volume":"42","author":"San Marchi","year":"2017","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib26","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2024.114923","article-title":"An overview of hydrogen valleys: Current status, challenges and their role in increased renewable energy penetration","volume":"207","author":"Bampaou","year":"2025","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.asoc.2026.115064_bib27","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2022.112744","article-title":"A green hydrogen energy system: optimal control strategies for integrated hydrogen storage and power generation with wind energy","volume":"168","author":"Schrotenboer","year":"2022","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.asoc.2026.115064_bib28","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1016\/j.ijhydene.2024.02.167","article-title":"Techno-economic evaluation of renewable hydrogen generation strategies for the industrial sector","volume":"60","author":"Ramsebner","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib29","doi-asserted-by":"crossref","DOI":"10.3389\/fenrg.2024.1420224","article-title":"Modeling of a \u2018Hydrogen Valley\u2019 to investigate the impact of a regional pipeline for hydrogen supply","volume":"12","author":"Ros\u00e9n","year":"2024","journal-title":"Front. Energy Res."},{"issue":"17","key":"10.1016\/j.asoc.2026.115064_bib30","article-title":"Modern hydrogen technologies in the face of climate change\u2014analysis of strategy and development in polish conditions","volume":"15","author":"W\u0142odarczyk","year":"2023","journal-title":"Sustain."},{"key":"10.1016\/j.asoc.2026.115064_bib31","first-page":"307","article-title":"Overview of the risk assessments for hydrogen refuelling stations in Japan","volume":"90","author":"Suzuki","year":"2022","journal-title":"Chem. Eng. Trans."},{"issue":"27","key":"10.1016\/j.asoc.2026.115064_bib32","doi-asserted-by":"crossref","first-page":"12584","DOI":"10.1016\/j.ijhydene.2018.05.003","article-title":"Comparative risk study of hydrogen and gasoline dispensers for vehicles","volume":"43","author":"Hirayama","year":"2018","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib33","first-page":"229","article-title":"Preliminary risk assessment of hydrogen refuelling stations in a multifuel context","volume":"90","author":"Pique","year":"2022","journal-title":"Chem. Eng. Trans."},{"issue":"18","key":"10.1016\/j.asoc.2026.115064_bib34","doi-asserted-by":"crossref","first-page":"12068","DOI":"10.1016\/j.ijhydene.2011.06.080","article-title":"Analysis of hydrogen incidents to support risk assessment","volume":"36","author":"Mirza","year":"2011","journal-title":"Int. J. Hydrog. Energy"},{"issue":"12","key":"10.1016\/j.asoc.2026.115064_bib35","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0293348","article-title":"Risk management of hydrogenation station PPP project based on 3D framework\u2014a case study in China","volume":"18","author":"Zhao","year":"2023","journal-title":"PLoS One"},{"key":"10.1016\/j.asoc.2026.115064_bib36","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1016\/j.ijhydene.2023.09.210","article-title":"Optimizing hydrogen refueling station layout based on consequences of leakage and explosion accidents","volume":"54","author":"Zhou","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib37","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.ijhydene.2023.05.129","article-title":"Numerical simulation of hydrogen explosion characteristics and disaster effects of hydrogen fueling station","volume":"51","author":"Ma","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib38","doi-asserted-by":"crossref","first-page":"1406","DOI":"10.1016\/j.ijhydene.2023.11.050","article-title":"Screening of accident scenarios of hydrogen refueling stations based on HyRAM+ and Latin hypercube sampling","volume":"50","author":"Zhu","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"issue":"9","key":"10.1016\/j.asoc.2026.115064_bib39","first-page":"3963","article-title":"Risk assessment of a hydrogen refueling station in an Urban Area","volume":"16","author":"Kwak","year":"2023","journal-title":"Energ."},{"issue":"53","key":"10.1016\/j.asoc.2026.115064_bib40","doi-asserted-by":"crossref","first-page":"29630","DOI":"10.1016\/j.ijhydene.2020.07.243","article-title":"Risk assessment of hydrogen generation unit considering dependencies using integrated DEMATEL and TOPSIS approach","volume":"45","author":"Li","year":"2020","journal-title":"Int. J. Hydrog. Energy"},{"issue":"36","key":"10.1016\/j.asoc.2026.115064_bib41","doi-asserted-by":"crossref","first-page":"20572","DOI":"10.1016\/j.ijhydene.2019.05.187","article-title":"Assessment of risk factors and effects in hydrogen logistics incidents from a network modeling perspective","volume":"44","author":"Lam","year":"2019","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib42","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.jlp.2015.01.019","article-title":"Application of CREAM human reliability model to cargo loading process of LPG tankers","volume":"34","author":"Akyuz","year":"2015","journal-title":"J. Loss Prev. Process Ind."},{"issue":"11","key":"10.1016\/j.asoc.2026.115064_bib43","first-page":"27635","article-title":"Quantification of human error probability by cognitive approach in LPG dispenser","volume":"10","author":"Maniram Kumar","year":"2015","journal-title":"Int. J. Appl. Eng. Res."},{"issue":"6","key":"10.1016\/j.asoc.2026.115064_bib44","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1016\/j.ress.2005.06.002","article-title":"A fuzzy modeling application of CREAM methodology for human reliability analysis","volume":"91","author":"Konstandinidou","year":"2006","journal-title":"Reliab. Eng. Syst. Saf."},{"issue":"2","key":"10.1016\/j.asoc.2026.115064_bib45","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.ress.2004.12.003","article-title":"A probabilistic approach for determining the control mode in CREAM","volume":"91","author":"Kim","year":"2006","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.asoc.2026.115064_bib46","first-page":"137","article-title":"Bayesian modelling for human error probability analysis in CREAM","author":"Yang","year":"2011","journal-title":"ICQR2MSE 2011 Proc. 2011 Int. Conf. Qual. Reliab. Risk Maint. Saf. Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib47","article-title":"Analysis of human reliability in power system switching operation considering dependency of operators","author":"Bao","year":"2013","journal-title":"Asia Pac. Power Energy Eng. Conf. APPEEC"},{"key":"10.1016\/j.asoc.2026.115064_bib48","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.oceaneng.2012.11.003","article-title":"A modified CREAM to human reliability quantification in marine engineering","volume":"58","author":"Yang","year":"2013","journal-title":"Ocean Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib49","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.ssci.2017.02.014","article-title":"An enhanced CREAM with stakeholder-graded protocols for tanker shipping safety application","volume":"95","author":"Zhou","year":"2017","journal-title":"Saf. Sci."},{"key":"10.1016\/j.asoc.2026.115064_bib50","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.oceaneng.2017.04.018","article-title":"A new hybrid approach to human error probability quantification\u2013applications in maritime operations","volume":"138","author":"Xi","year":"2017","journal-title":"Ocean Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib51","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.ssci.2017.12.035","article-title":"Human error assessment of oil tanker grounding","volume":"104","author":"Ung","year":"2018","journal-title":"Saf. Sci."},{"key":"10.1016\/j.asoc.2026.115064_bib52","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.oceaneng.2019.03.031","article-title":"Evaluation of human error contribution to oil tanker collision using fault tree analysis and modified fuzzy Bayesian Network based CREAM","volume":"179","author":"Ung","year":"2019","journal-title":"Ocean Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib53","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2019.05.077","article-title":"Use of evidential reasoning for eliciting bayesian subjective probabilities in human reliability analysis: A maritime case","volume":"186","author":"Yang","year":"2019","journal-title":"Ocean Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib54","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.oceaneng.2019.04.005","article-title":"A DBN-GO approach for success probability prediction of drilling riser emergency disconnect in deepwater","volume":"180","author":"Nie","year":"2019","journal-title":"Ocean Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib55","doi-asserted-by":"crossref","DOI":"10.1016\/j.oceaneng.2020.108078","article-title":"Application of a CREAM based framework to assess human reliability in emergency response to engine room fires on ships","volume":"216","author":"Ahn","year":"2020","journal-title":"Ocean Eng."},{"issue":"9","key":"10.1016\/j.asoc.2026.115064_bib56","article-title":"Human reliability analysis for fishing vessels in korea using cognitive reliability and error analysis method (CREAM)","volume":"16","author":"Lee","year":"2024","journal-title":"Sustain. (Switz. )"},{"issue":"1","key":"10.1016\/j.asoc.2026.115064_bib57","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1108\/ECAM-03-2019-0130","article-title":"Development of a time-variant causal model of human error in construction with dynamic Bayesian network","volume":"28","author":"Ma","year":"2021","journal-title":"Eng. Constr. Archit. Manag."},{"issue":"12","key":"10.1016\/j.asoc.2026.115064_bib58","first-page":"1326","article-title":"A novel hybrid approach based on CREAM and fuzzy ANP to evaluate human resource reliability in the urban railway","volume":"13","author":"Mahdi Rezaie","year":"2021","journal-title":"J. Transp. Saf. Secur."},{"issue":"1","key":"10.1016\/j.asoc.2026.115064_bib59","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1002\/qre.2736","article-title":"An extended CREAM model based on analytic network process under the type-2 fuzzy environment for human reliability analysis in the high-speed train operation","volume":"37","author":"Chen","year":"2021","journal-title":"Qual. Reliab. Eng. Int."},{"key":"10.1016\/j.asoc.2026.115064_bib60","first-page":"154","article-title":"A novel method of analyzing quality defects due to human errors in engine assembly line","author":"Yang","year":"2012","journal-title":"Proc. 2012 Int. Conf. Inf. Manag. Innov. Manag. Ind. Eng. ICIII 2012"},{"key":"10.1016\/j.asoc.2026.115064_bib61","first-page":"2685","article-title":"IRIS: a novel approach to monitoring risk in safety critical plants","author":"Cal\u00e1","year":"2020","journal-title":"Proc. 30th Eur. Saf. Reliab. Conf. 15th Probabilistic Saf. Assess. Manag. Conf."},{"issue":"10","key":"10.1016\/j.asoc.2026.115064_bib62","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1016\/j.anucene.2006.05.003","article-title":"Quantitative developments in the cognitive reliability and error analysis method (CREAM) for the assessment of human performance","volume":"33","author":"Marseguerra","year":"2006","journal-title":"Ann. Nucl. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib63","first-page":"1733","article-title":"The analysis of common cause failure based on impact vector considering human factor diversity","author":"Liu","year":"2013","journal-title":"Proc. 2013 IEEE 8th Conf. Ind. Electron. Appl. ICIEA 2013"},{"key":"10.1016\/j.asoc.2026.115064_bib64","unstructured":"E. Hollnagel, \u201cCREAM.\u201d Accessed: Mar. 20, 2025. [Online]. Available: \u3008https:\/\/erikhollnagel.com\/ideas\/cream.html\u3009."},{"key":"10.1016\/j.asoc.2026.115064_bib65","doi-asserted-by":"crossref","DOI":"10.1155\/2018\/3696457","article-title":"DEMATEL technique: a systematic review of the state-of-the-art literature on methodologies and applications","volume":"2018","author":"Si","year":"2018","journal-title":"Math. Probl. Eng."},{"issue":"4","key":"10.1016\/j.asoc.2026.115064_bib66","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/0016-3287(74)90076-7","article-title":"Events and economic forecasting models","volume":"6","author":"Fontela","year":"1974","journal-title":"Futures"},{"issue":"3","key":"10.1016\/j.asoc.2026.115064_bib67","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.1016\/j.eswa.2010.07.114","article-title":"Fuzzy DEMATEL method for developing supplier selection criteria","volume":"38","author":"Chang","year":"2011","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"10.1016\/j.asoc.2026.115064_bib68","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1037\/h0061626","article-title":"Cognitive maps in rats and men","volume":"55","author":"Tolman","year":"1948","journal-title":"Psychol. Rev."},{"issue":"1","key":"10.1016\/j.asoc.2026.115064_bib69","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/S0020-7373(86)80040-2","article-title":"Fuzzy cognitive maps","volume":"24","author":"Kosko","year":"1986","journal-title":"Int. J. Man. Mach. Stud."},{"key":"10.1016\/j.asoc.2026.115064_bib70","author":"Galimberti","year":"2023","journal-title":"Neural Netw. Deep Learn."},{"issue":"13","key":"10.1016\/j.asoc.2026.115064_bib71","article-title":"Fuzzy hardware tool: an adaptable tool to facilitate the implementation of fuzzy inference systems in hardware","volume":"12","author":"Valdez","year":"2023","journal-title":"Electron."},{"key":"10.1016\/j.asoc.2026.115064_bib72","volume":"124","author":"Behret","year":"2011","journal-title":"A Fuzzy Inference Syst. Supply chain risk Manag."},{"key":"10.1016\/j.asoc.2026.115064_bib73","unstructured":"United Nations Framework Convention on Climate Change, \u201cTHE PARIS AGREEMENT,\u201d 2016. [Online]. Available: \u3008https:\/\/treaties.un.org\/Pages\/ViewDetails.aspx?src=TREATY&mtdsg_no=XXVII-7\u3009-."},{"key":"10.1016\/j.asoc.2026.115064_bib74","unstructured":"Republic of T\u00fcrkiye Ministry of Energy and Natural Resources, \u201cStrategic Plan 2024\u20132028.\u201d Accessed: Mar. 22, 2025. [Online]. Available: \u3008https:\/\/enerji.gov.tr\/Media\/Dizin\/SGB\/tr\/Kurumsal_Politikalar\/ETKB_2024-2028_Stratejik_Plani.pdf\u3009."},{"key":"10.1016\/j.asoc.2026.115064_bib75","unstructured":"Clean Hydrogen Partnership, \u201cSouth Marmara Hydrogen Shore,\u201d Jan. 2025. Accessed: Apr. 22, 2025. [Online]. Available: \u3008https:\/\/www.clean-hydrogen.europa.eu\/projects-dashboard\/projects-repository\/hysouthmarmara_en\u3009."},{"key":"10.1016\/j.asoc.2026.115064_bib76","unstructured":"South Marmara Development Agency, \u201c\u2018HYSouthMarmara Hidrojen Vadisi Projesi ve G\u00fcney Marmara Hidrojen K\u0131y\u0131s\u0131 Platformu G\u00fcd\u00fcml\u00fc Projeleri\u2019nde \u0130mzalar At\u0131ld\u0131.\u201d Accessed: Mar. 12, 2025. [Online]. Available: \u3008https:\/\/www.gmka.gov.tr\/haber\/hysouthmarmara-hidrojen-vadisi-projesi-ve-guney-marmara-hidrojen-kiyisi-platformu-gudumlu-projeleri-nde-imzalar-atildi\u3009."},{"issue":"21","key":"10.1016\/j.asoc.2026.115064_bib77","article-title":"Development of a hydrogen valley for exploitation of green hydrogen in central Italy","volume":"15","author":"Ficco","year":"2022","journal-title":"Energ."},{"key":"10.1016\/j.asoc.2026.115064_bib78","doi-asserted-by":"crossref","DOI":"10.1016\/j.rser.2024.115284","article-title":"Hydrogen subsidies under three pillar-frameworks: a Europe-United States multi-stakeholder comparison","volume":"211","author":"Guillotin","year":"2025","journal-title":"Renew. Sustain. Energy Rev."},{"key":"10.1016\/j.asoc.2026.115064_bib79","doi-asserted-by":"crossref","first-page":"950","DOI":"10.1016\/j.psep.2024.05.005","article-title":"A techno-economic assessment of hydrogen and methane production from the anaerobic treatment of vinasse and glycerol: single- vs. two-stage process","volume":"187","author":"de Menezes","year":"2024","journal-title":"Process Saf. Environ. Prot."},{"issue":"27","key":"10.1016\/j.asoc.2026.115064_bib80","doi-asserted-by":"crossref","first-page":"14857","DOI":"10.1016\/j.ijhydene.2021.01.160","article-title":"A comparative techno-economic and quantitative risk analysis of hydrogen delivery infrastructure options","volume":"46","author":"Lee","year":"2021","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib81","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1016\/j.ijhydene.2023.10.107","article-title":"Liquefied hydrogen value chain: a detailed techno-economic evaluation for its application in the industrial and mobility sectors","volume":"52","author":"Restelli","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"issue":"46","key":"10.1016\/j.asoc.2026.115064_bib82","doi-asserted-by":"crossref","first-page":"25096","DOI":"10.1016\/j.ijhydene.2020.06.125","article-title":"Technical potential of on-site wind powered hydrogen producing refuelling stations in the Netherlands","volume":"45","author":"Chrysochoidis-Antsos","year":"2020","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib83","doi-asserted-by":"crossref","DOI":"10.1016\/j.applthermaleng.2024.125197","article-title":"Risk assessment framework for green hydrogen megaprojects: balancing climate goals with project viability","volume":"262","author":"McGregor","year":"2025","journal-title":"Appl. Therm. Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib84","author":"Jordan","year":"2004","journal-title":"Neural Netw."},{"issue":"7","key":"10.1016\/j.asoc.2026.115064_bib85","doi-asserted-by":"crossref","first-page":"4373","DOI":"10.1007\/s00603-022-02866-z","article-title":"An ANN-fuzzy cognitive map-based Z-number theory to predict flyrock induced by blasting in open-pit mines","volume":"55","author":"Hosseini","year":"2022","journal-title":"Rock. Mech. Rock. Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib86","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.ijpe.2014.11.013","article-title":"A fuzzy-based integrated framework for supply chain risk assessment","volume":"161","author":"Aqlan","year":"2015","journal-title":"Int. J. Prod. Econ."},{"key":"10.1016\/j.asoc.2026.115064_bib87","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.ijhydene.2024.05.303","article-title":"The impact of country-specific investment risks on the levelized costs of green hydrogen production","volume":"73","author":"Kigle","year":"2024","journal-title":"Int. J. Hydrog. Energy"},{"key":"10.1016\/j.asoc.2026.115064_bib88","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2023.109288","article-title":"Considering region risks and mitigation strategies in the supplier selection process for improving supply chain resilience","volume":"181","author":"Suryadi","year":"2023","journal-title":"Comput. Ind. Eng."},{"key":"10.1016\/j.asoc.2026.115064_bib89","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1016\/j.ijhydene.2024.06.338","article-title":"A review of governance strategies, policy measures, and regulatory framework for hydrogen energy in the United States","volume":"78","author":"Bade","year":"2024","journal-title":"Int. J. Hydrog. Energy"}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626005120?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494626005120?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T03:01:28Z","timestamp":1778814088000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494626005120"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":89,"alternative-id":["S1568494626005120"],"URL":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115064","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Neural network based fuzzy cognitive reliability and error analysis method for risk assessment of hydrogen valley design under uncertain data","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2026.115064","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":"115064"}}