{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T00:17:21Z","timestamp":1723681041887},"reference-count":47,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Reliability Engineering & System Safety"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1016\/j.ress.2024.110387","type":"journal-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T17:20:22Z","timestamp":1722273622000},"page":"110387","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A health assessment method with attribute importance modeling for complex systems using belief rule base"],"prefix":"10.1016","volume":"251","author":[{"given":"Zheng","family":"Lian","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0508-4648","authenticated-orcid":false,"given":"Zhi-Jie","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Chang-Hua","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chun-Chao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Chao-Li","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ress.2024.110387_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109204","article-title":"Maintenance optimization in Industry 4.0","author":"Pinciroli","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0002","article-title":"Decomposed-coordinated framework with intelligent extremum network for operational reliability analysis of complex system","volume":"242","author":"Liu","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2024.109940","article-title":"Accident spread and risk propagation mechanism in complex industrial system network","volume":"244","author":"Feng","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.108140","article-title":"Sustainable manufacturing, maintenance policies, prognostics and health management: a literature review","volume":"218","author":"Vrignat","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2021.108063","article-title":"Prognostics and health management: a review from the perspectives of design, development and decision","volume":"217","author":"Hu","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109592","article-title":"An empirical study of the added value of the sequential learning of model parameters to industrial system health monitoring","volume":"240","author":"Zhao","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108373","article-title":"Analysis of simplification in Markov state-based models for reliability assessment of complex safety systems","volume":"221","author":"Liang","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0008","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.102186","article-title":"Model-assisted multi-source fusion hypergraph convolutional neural networks for intelligent few-shot fault diagnosis to electro-hydrostatic actuator","volume":"104","author":"Zhao","year":"2024","journal-title":"Inf Fusion"},{"key":"10.1016\/j.ress.2024.110387_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2023.110190","article-title":"Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery","volume":"192","author":"Cao","year":"2023","journal-title":"Mech Syst Signal Process"},{"issue":"4","key":"10.1016\/j.ress.2024.110387_bib0010","doi-asserted-by":"crossref","first-page":"6234","DOI":"10.1109\/TII.2022.3201977","article-title":"Incremental learning for remaining useful life prediction via temporal cascade broad learning system with newly acquired data","volume":"19","author":"Cao","year":"2022","journal-title":"IEEE Trans Industr Inform"},{"key":"10.1016\/j.ress.2024.110387_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109269","article-title":"Implicit Kalman filtering method for remaining useful life prediction of rolling bearing with adaptive detection of degradation stage transition point","volume":"235","author":"Li","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0012","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108719","article-title":"Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios","volume":"226","author":"Yuan","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.106811","article-title":"Prioritising investments in safety measures in the chemical industry by using the analytic hierarchy process","volume":"198","author":"Abrahamsen","year":"2020","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109686","article-title":"Human reliability evaluation method covering operator action timing for dynamic probabilistic safety assessment","volume":"241","author":"Jo","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"issue":"1","key":"10.1016\/j.ress.2024.110387_bib0015","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejor.2004.04.028","article-title":"Analytic hierarchy process: an overview of applications","volume":"169","author":"Vaidya","year":"2006","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2024.110387_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108932","article-title":"Semi-supervised health assessment of pipeline systems based on optical fiber monitoring","volume":"230","author":"Jiang","year":"2023","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0017","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109603","article-title":"Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection","volume":"241","author":"Che","year":"2024","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0018","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.neucom.2017.11.077","article-title":"Feature selection in machine learning: a new perspective","volume":"300","author":"Cai","year":"2018","journal-title":"Neurocomputing"},{"key":"10.1016\/j.ress.2024.110387_bib0019","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1023\/A:1025667309714","article-title":"Theoretical and empirical analysis of ReliefF and RReliefF","volume":"53","author":"Robnik-\u0160ikonja","year":"2003","journal-title":"Mach Learn"},{"key":"10.1016\/j.ress.2024.110387_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2020.106342","article-title":"Novel multi-label feature selection via label symmetric uncertainty correlation learning and feature redundancy evaluation","volume":"207","author":"Dai","year":"2020","journal-title":"Knowl Based Syst"},{"key":"10.1016\/j.ress.2024.110387_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113842","article-title":"A feature selection algorithm of decision tree based on feature weight","volume":"164","author":"Zhou","year":"2021","journal-title":"Expert Syst Appl"},{"issue":"5","key":"10.1016\/j.ress.2024.110387_bib0022","doi-asserted-by":"crossref","first-page":"1919","DOI":"10.1109\/TNNLS.2017.2688482","article-title":"Sensitivity analysis for probabilistic neural network structure reduction","volume":"29","author":"Kowalski","year":"2017","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"year":"2013","series-title":"The nature of statistical learning theory","author":"Vapnik","key":"10.1016\/j.ress.2024.110387_bib0023"},{"issue":"2","key":"10.1016\/j.ress.2024.110387_bib0024","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1109\/TSMCA.2005.851270","article-title":"Belief rule-base inference methodology using the evidential reasoning approach-RIMER","volume":"36","author":"Yang","year":"2006","journal-title":"IEEE Trans Syst Man Cybernetic-part A: Syst Humans"},{"issue":"11","key":"10.1016\/j.ress.2024.110387_bib0025","doi-asserted-by":"crossref","first-page":"3489","DOI":"10.1109\/TFUZZ.2020.3024024","article-title":"On the interpretability of belief rule-based expert systems","volume":"29","author":"Cao","year":"2020","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"10.1016\/j.ress.2024.110387_bib0026","doi-asserted-by":"crossref","DOI":"10.1109\/TSMC.2023.3279286","article-title":"On the robustness of belief-rule-based expert systems","author":"Cao","year":"2023","journal-title":"IEEE Trans Syst Man Cybernetic: Syst"},{"issue":"4","key":"10.1016\/j.ress.2024.110387_bib0027","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1109\/TSMCA.2007.897606","article-title":"Optimization models for training belief-rule-based systems","volume":"37","author":"Yang","year":"2007","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"10.1016\/j.ress.2024.110387_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2020.107055","article-title":"A safety assessment model based on belief rule base with new optimization method","volume":"203","author":"Feng","year":"2020","journal-title":"Reliab Eng Syst Saf"},{"key":"10.1016\/j.ress.2024.110387_bib0029","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.knosys.2015.04.019","article-title":"A cooperative belief rule based decision support system for lymph node metastasis diagnosis in gastric cancer","volume":"85","author":"Zhou","year":"2015","journal-title":"Knowl Based Syst"},{"issue":"10","key":"10.1016\/j.ress.2024.110387_bib0030","doi-asserted-by":"crossref","first-page":"10364","DOI":"10.1109\/TCYB.2021.3063285","article-title":"Transparent digital twin for output control using belief rule base","volume":"52","author":"Chang","year":"2021","journal-title":"IEEE Trans Cybern"},{"key":"10.1016\/j.ress.2024.110387_bib0031","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2022.108627","article-title":"Scenario evolutionary analysis for maritime emergencies using an ensemble belief rule base","volume":"225","author":"Li","year":"2022","journal-title":"Reliab Eng Syst Saf"},{"issue":"2","key":"10.1016\/j.ress.2024.110387_bib0032","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1109\/TR.2023.3311436","article-title":"A belief rule-based performance evaluation model for complex systems considering sensors disturbance","volume":"73","author":"Lian","year":"2023","journal-title":"IEEE Trans Reliab"},{"key":"10.1016\/j.ress.2024.110387_bib0033","doi-asserted-by":"crossref","DOI":"10.1109\/TASE.2024.3402099","article-title":"Transparent fault diagnosis for complex equipment considering expert reliability based on belief rule base and linguistic Z-Number","author":"Lian","year":"2024","journal-title":"IEEE Trans Automat Sci Eng"},{"key":"10.1016\/j.ress.2024.110387_bib0034","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/s11704-019-8208-z","article-title":"A survey on ensemble learning","volume":"14","author":"Dong","year":"2020","journal-title":"Front Comput Sci"},{"key":"10.1016\/j.ress.2024.110387_bib0035","series-title":"Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II 19.","first-page":"313","article-title":"Robust feature selection using ensemble feature selection techniques","author":"Saeys","year":"2008"},{"key":"10.1016\/j.ress.2024.110387_bib0036","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.knosys.2016.11.017","article-title":"Ensemble feature selection: homogeneous and heterogeneous approaches","volume":"118","author":"Seijo-Pardo","year":"2017","journal-title":"Knowl Based Syst"},{"issue":"3","key":"10.1016\/j.ress.2024.110387_bib0037","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1016\/j.ejor.2015.06.032","article-title":"Sensitivity analysis: a review of recent advances","volume":"248","author":"Borgonovo","year":"2016","journal-title":"Eur J Oper Res"},{"key":"10.1016\/j.ress.2024.110387_bib0038","series-title":"International Symposium on Neural Networks","first-page":"1352","article-title":"A novel input stochastic sensitivity definition of radial basis function neural networks and its application to feature selection","author":"Wang","year":"2006"},{"issue":"3","key":"10.1016\/j.ress.2024.110387_bib0039","doi-asserted-by":"crossref","first-page":"1885","DOI":"10.1016\/j.ejor.2004.09.059","article-title":"Environmental impact assessment using the evidential reasoning approach","volume":"174","author":"Wang","year":"2006","journal-title":"Eur J Oper Res"},{"issue":"2","key":"10.1016\/j.ress.2024.110387_bib0040","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/S0925-2312(96)00031-8","article-title":"Perturbation method for deleting redundant inputs of perceptron networks","volume":"14","author":"Zurada","year":"1997","journal-title":"Neurocomputing"},{"issue":"1","key":"10.1016\/j.ress.2024.110387_bib0041","doi-asserted-by":"crossref","DOI":"10.1080\/23311916.2018.1502242","article-title":"A review of multi-objective optimization: methods and its applications","volume":"5","author":"Gunantara","year":"2018","journal-title":"Cogent Eng"},{"issue":"9","key":"10.1016\/j.ress.2024.110387_bib0042","doi-asserted-by":"crossref","first-page":"1649","DOI":"10.1109\/TSMC.2017.2665880","article-title":"A model for hidden behavior prediction of complex systems based on belief rule base and power set","volume":"48","author":"Zhou","year":"2017","journal-title":"IEEE Trans Syst Man Cybernetic: Syst"},{"issue":"1","key":"10.1016\/j.ress.2024.110387_bib0043","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1016\/j.cja.2020.09.044","article-title":"Performance evaluation of complex systems using evidential reasoning approach with uncertain parameters","volume":"34","author":"Chen","year":"2021","journal-title":"Chinese J Aeronautic"},{"key":"10.1016\/j.ress.2024.110387_bib0044","unstructured":"Z. Lian, L.H. Hu, Z.J. Zhou, et al. Accelerometer health state assessment based on belief rule base and ballistic simulation. Control Decis:1\u20139. 10.13195\/j.kzyjc.2023.0331."},{"key":"10.1016\/j.ress.2024.110387_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.bspc.2021.103471","article-title":"GLCM and statistical features extraction technique with Extra-Tree Classifier in Macular Oedema risk diagnosis","volume":"73","author":"Ossai","year":"2022","journal-title":"Biomed Signal Process Control"},{"key":"10.1016\/j.ress.2024.110387_bib0046","article-title":"Building condition assessment using artificial neural network and structural equations","volume":"186","author":"TMohamed","year":"2021","journal-title":"Expert Syst Appl"},{"key":"10.1016\/j.ress.2024.110387_bib0047","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.116816","article-title":"SVNN-ANFIS approach for stability evaluation of open-pit mine slopes","volume":"198","author":"Qin","year":"2022","journal-title":"Expert Syst Appl"}],"container-title":["Reliability Engineering & System Safety"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832024004599?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0951832024004599?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T15:26:54Z","timestamp":1723649214000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0951832024004599"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":47,"alternative-id":["S0951832024004599"],"URL":"https:\/\/doi.org\/10.1016\/j.ress.2024.110387","relation":{},"ISSN":["0951-8320"],"issn-type":[{"type":"print","value":"0951-8320"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A health assessment method with attribute importance modeling for complex systems using belief rule base","name":"articletitle","label":"Article Title"},{"value":"Reliability Engineering & System Safety","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ress.2024.110387","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110387"}}