{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T05:27:27Z","timestamp":1775021247278,"version":"3.50.1"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T00:00:00Z","timestamp":1619049600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T00:00:00Z","timestamp":1619049600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61725306"],"award-info":[{"award-number":["61725306"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61751312"],"award-info":[{"award-number":["61751312"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773405 and 61533020"],"award-info":[{"award-number":["61773405 and 61533020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Fundamental Research Funds for the Central Universities of Central South University","award":["2019zzts063"],"award-info":[{"award-number":["2019zzts063"]}]},{"name":"the Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China","award":["MADT0F2019B01"],"award-info":[{"award-number":["MADT0F2019B01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s10489-021-02377-4","type":"journal-article","created":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T10:16:55Z","timestamp":1619086615000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":130,"title":["A novel cause analysis approach of grey reasoning Petri net based on matrix operations"],"prefix":"10.1007","volume":"52","author":[{"given":"Li","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongfang","family":"Xie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5323-4818","authenticated-orcid":false,"given":"Lihui","family":"Cen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaohui","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,4,22]]},"reference":[{"key":"2377_CR1","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.compbiomed.2014.04.010","volume":"51","author":"F Seixas","year":"2014","unstructured":"Seixas F, Flavio L, Zadrozny B, Laks J (2014) A Bayesian network decision model for supporting the diagnosis of dementia, Alzheimers disease and mild cognitive impairment. Comput Biol Med 51:140\u2013158","journal-title":"Comput Biol Med"},{"key":"2377_CR2","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.enbuild.2012.11.007","volume":"57","author":"Y Zhao","year":"2013","unstructured":"Zhao Y, Xiao F, Wang S (2013) An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network. Energy and Buildings 57:278\u2013288","journal-title":"Energy and Buildings"},{"key":"2377_CR3","doi-asserted-by":"publisher","first-page":"990","DOI":"10.1109\/TSMC.2015.2392711","volume":"45","author":"Q Zhang","year":"2015","unstructured":"Zhang Q (2015) Dynamic uncertain causality graph for knowledge representation and reasoning: continuous variable, uncertain evidence, and failure forecast. IEEE Transactions on Systems, Man, and Cybernetics 45:990\u20131003","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"2377_CR4","doi-asserted-by":"publisher","first-page":"910","DOI":"10.1109\/TR.2015.2416332","volume":"64","author":"Q Zhang","year":"2015","unstructured":"Zhang Q, Geng S (2015) Dynamic uncertain causality graph applied to dynamic fault diagnoses of large and complex systems. IEEE Trans Reliab 64:910\u2013927","journal-title":"IEEE Trans Reliab"},{"key":"2377_CR5","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.apacoust.2014.08.016","volume":"89","author":"AJ Ben","year":"2015","unstructured":"Ben AJ, Fnaiech N, Saidi L (2015) Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals. Appl Acoust 89:16\u201327","journal-title":"Appl Acoust"},{"key":"2377_CR6","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1109\/TVT.2014.2317736","volume":"64","author":"R Ahmed","year":"2015","unstructured":"Ahmed R, Sayed ME, Gadsden SA (2015) Automotive Internal-Combustion-Engine fault detection and classification using artificial neural network techniques. IEEE Trans Veh Technol 64:21\u201333","journal-title":"IEEE Trans Veh Technol"},{"key":"2377_CR7","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.eswa.2017.12.027","volume":"97","author":"B Yang","year":"2018","unstructured":"Yang B, Li H (2018) A novel dynamic timed fuzzy Petri nets modeling method with applications to industrial processes. Expert Syst Appl 97:276\u2013289","journal-title":"Expert Syst Appl"},{"key":"2377_CR8","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1109\/TSMC.2015.2445732","volume":"46","author":"HC Liu","year":"2016","unstructured":"Liu HC, You JX, You XY (2016) Linguistic reasoning petri nets for knowledge representation and reasoning. IEEE Transactions on Systems, Man, and Cybernetics:, Systems 46:499\u2013511","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics:, Systems"},{"issue":"6","key":"2377_CR9","doi-asserted-by":"publisher","first-page":"1399","DOI":"10.1109\/TSMC.2013.2256125","volume":"43","author":"HC Liu","year":"2013","unstructured":"Liu HC, Lin QL, Mao LX (2013) Dynamic adaptive fuzzy petri nets for knowledge representation and reasoning. IEEE Transactions on Systems, Man, and Cybernetics: Systems 43(6):1399\u20131410","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"issue":"26","key":"2377_CR10","doi-asserted-by":"publisher","first-page":"12144","DOI":"10.1021\/acs.iecr.0c01474","volume":"59","author":"Q Jia","year":"2020","unstructured":"Jia Q, Li SJ (2020) Process monitoring and fault diagnosis based on a regular vine and Bayesian network. Industrial & Engineering Chemistry Research 59(26):12144\u201312155","journal-title":"Industrial & Engineering Chemistry Research"},{"issue":"1","key":"2377_CR11","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1109\/TASE.2016.2574875","volume":"14","author":"B Cai","year":"2017","unstructured":"Cai B, Liu Y, Xie M (2017) A dynamic-Bayesian-network-based fault diagnosis methodology considering transient and intermittent faults. IEEE Trans Autom Sci Eng 14(1):276\u2013285","journal-title":"IEEE Trans Autom Sci Eng"},{"key":"2377_CR12","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.ijpe.2018.06.017","volume":"209","author":"P Boutselis","year":"2019","unstructured":"Boutselis P, Mcnaught K (2019) Using Bayesian networks to forecast spares demand from equipment failures in changing service logistics context. International Journal of Production Economics 209:325\u2013333","journal-title":"International Journal of Production Economics"},{"issue":"4","key":"2377_CR13","doi-asserted-by":"publisher","first-page":"1922","DOI":"10.1109\/TASE.2019.2915286","volume":"16","author":"W Yu","year":"2019","unstructured":"Yu W, Zhao C (2019) Online fault diagnosis for industrial processes with Bayesian network-based probabilistic ensemble learning strategy. IEEE Transactions on Automation Science and Engineering 16(4):1922\u20131932","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"issue":"4","key":"2377_CR14","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/TNNLS.2013.2279320","volume":"25","author":"Q Zhang","year":"2014","unstructured":"Zhang Q, Dong C, Cui Y (2014) Dynamic uncertain causality graph for knowledge representation and probabilistic reasoning: statistics base, matrix, and application. IEEE Transactions on Neural Networks and Learning Systems 25(4):645\u2013663","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"05","key":"2377_CR15","first-page":"530","volume":"56","author":"Y Zhao","year":"2016","unstructured":"Zhao Y, Dong CL, Zhang Q (2016) Fault diagnostics using DUCG in complex systems. Journal of Tsinghua University 56(05):530\u2013537","journal-title":"Journal of Tsinghua University"},{"issue":"03","key":"2377_CR16","first-page":"130","volume":"35","author":"M Zou","year":"2018","unstructured":"Zou M, Wang HC (2018) An algorithm for solving minimal cut set of causality diagram by petri net model. Journal of Chongqing Normal University 35(03):130\u2013136","journal-title":"Journal of Chongqing Normal University"},{"key":"2377_CR17","doi-asserted-by":"publisher","unstructured":"Masud M, Eldin R (2020) Convolutional neural network-based models for diagnosis of breast cancer. Neural Comput & Applic. https:\/\/doi.org\/10.1007\/s00521-020-05394-5","DOI":"10.1007\/s00521-020-05394-5"},{"key":"2377_CR18","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.ymssp.2018.02.016","volume":"108","author":"R Liu","year":"2018","unstructured":"Liu R, Yang B, Enrico Z (2018) Artificial intelligence for fault diagnosis of rotating machinery: a review. Mechanical Systems and Signal Processing 108:33\u201347","journal-title":"Mechanical Systems and Signal Processing"},{"key":"2377_CR19","doi-asserted-by":"publisher","unstructured":"Chen G, Liu M, Chen J (2020) Frequency-temporal-logic-based bearing fault diagnosis and fault interpretation using Bayesian optimization with Bayesian neural networks. Mechanical Systems and Signal Processing. https:\/\/doi.org\/10.1016\/j.ymssp.2020.106951","DOI":"10.1016\/j.ymssp.2020.106951"},{"key":"2377_CR20","doi-asserted-by":"publisher","unstructured":"Yuan CL, Liao YY, Kong LS (2020) Fault diagnosis method of distribution network based on time sequence hierarchical fuzzy petri nets. Electric Power Systems Research https:\/\/doi.org\/10.1016\/J.EPSR.2020.106870","DOI":"10.1016\/J.EPSR.2020.106870"},{"key":"2377_CR21","doi-asserted-by":"crossref","unstructured":"Wang Y, Qiu D (2016) A method of synthetical fault diagnosis for power system based on fuzzy hierarchical Petri net. 2016 IEEE international conference on mechatronics and automation, 254\u2013258","DOI":"10.1109\/ICMA.2016.7558570"},{"issue":"6","key":"2377_CR22","first-page":"3860","volume":"26","author":"CY Teh","year":"2018","unstructured":"Teh CY, Kerk YW, Tay KM (2018) On modeling of data-driven monotone zero-order TSK fuzzy inference systems using a system identification framework. IEEE Transactions on Fuzzy Systems 26(6):3860\u20133874","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"2377_CR23","first-page":"1059","volume":"43","author":"HC Liu","year":"2013","unstructured":"Liu HC, Liu L, Lin QL (2013) Knowledge acquisition and representation using fuzzy evidential reasoning and dynamic adaptive fuzzy Petri nets. IEEE Transactions on Systems, Man, and Cybernetics-Part B:Cybernetics 43:1059\u20131072","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics-Part B:Cybernetics"},{"key":"2377_CR24","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1109\/TSMCA.2002.804362","volume":"33","author":"MM Gao","year":"2003","unstructured":"Gao MM, Zhou MC, Huang XG (2003) Fuzzy reasoning Petri nets. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 33:314\u2013324","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans"},{"key":"2377_CR25","doi-asserted-by":"publisher","first-page":"2053","DOI":"10.1109\/TPWRS.2004.836256","volume":"19","author":"J Sun","year":"2004","unstructured":"Sun J, Qin SY, Song YH (2004) Fault diagnosis of electric power systems based on fuzzy Petri nets. IEEE Transactions on Power Systems 19:2053\u20132059","journal-title":"IEEE Transactions on Power Systems"},{"key":"2377_CR26","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1109\/TPWRD.2008.915809","volume":"23","author":"X Luo","year":"2008","unstructured":"Luo X, Kezunovic M (2008) Implementing fuzzy reasoning Petri-nets for fault section estimation. IEEE Transactions on Power Delivery 23:676\u2013685","journal-title":"IEEE Transactions on Power Delivery"},{"issue":"2","key":"2377_CR27","doi-asserted-by":"publisher","first-page":"703","DOI":"10.1109\/JBHI.2013.2279595","volume":"18","author":"WL Chen","year":"2014","unstructured":"Chen WL, Kan CD, Lin CH (2014) A rule-based decision-making diagnosis system to evaluate arteriovenous shunt stenosis for hemodialysis treatment of patients using fuzzy petri nets. IEEE Journal of Biomedical and Health Informatics 18(2):703\u2013713","journal-title":"IEEE Journal of Biomedical and Health Informatics"},{"key":"2377_CR28","first-page":"1059","volume":"43","author":"HC Liu","year":"2013","unstructured":"Liu HC, Liu L, Lin QL (2013) Knowledge acquisition and representation using fuzzy evidential reasoning and dynamic adaptive fuzzy Petri nets. IEEE Transactions on Systems, Man, and Cybernetics -Part B: Cybernetics 43:1059\u20131072","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics -Part B: Cybernetics"},{"issue":"4","key":"2377_CR29","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1109\/TKDE.2017.2778256","volume":"30","author":"HC Liu","year":"2017","unstructured":"Liu HC, Luan X, Li ZW (2017) Linguistic Petri nets based on cloud model theory for knowledge representation and reasoning. IEEE Trans Knowl Data Eng 30(4):717\u2013728","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"4","key":"2377_CR30","doi-asserted-by":"publisher","first-page":"899","DOI":"10.1016\/j.cie.2013.09.004","volume":"66","author":"HC Liu","year":"2013","unstructured":"Liu HC, Lin QL, Ren ML (2013) Fault diagnosis and cause analysis using fuzzy evidential reasoning approach and dynamic adaptive fuzzy Petri nets. Comput Ind Eng 66(4):899\u2013908","journal-title":"Comput Ind Eng"},{"key":"2377_CR31","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.cie.2010.12.003","volume":"60","author":"HS Hu","year":"2011","unstructured":"Hu HS, Li ZW, Al-Ahmari A (2011) Reversed fuzzy Petri nets and their application for fault diagnosis. Comput Ind Eng 60:505\u2013510","journal-title":"Comput Ind Eng"},{"key":"2377_CR32","doi-asserted-by":"publisher","first-page":"72229","DOI":"10.1109\/ACCESS.2020.2986306","volume":"8","author":"J Zhou","year":"2020","unstructured":"Zhou J (2020) A fuzzy Petri-net approach for fault analysis considering factor influences. IEEE Access 8:72229\u2013722238","journal-title":"IEEE Access"},{"key":"2377_CR33","doi-asserted-by":"publisher","first-page":"3524","DOI":"10.1007\/s10489-019-01466-9","volume":"49","author":"SK Roy","year":"2019","unstructured":"Roy SK, Midya S (2019) Multi-objective fixed-charge solid transportation problem with product blending under intuitionistic fuzzy environment. Appl Intell 49:3524\u20133538","journal-title":"Appl Intell"},{"issue":"11","key":"2377_CR34","doi-asserted-by":"publisher","first-page":"3950","DOI":"10.1007\/s10489-018-1188-0","volume":"48","author":"Y Song","year":"2018","unstructured":"Song Y, Wang X, Zhu J (2018) Sensor dynamic reliability evaluation based on evidence theory and intuitionistic fuzzy sets. Appl Intell 48(11):3950\u20133962","journal-title":"Appl Intell"},{"key":"2377_CR35","first-page":"409","volume":"30","author":"BC Cuong","year":"2014","unstructured":"Cuong BC, Kreinovich V (2014) Picture fuzzy sets. J Comput Sci Cybern 30:409\u2013420","journal-title":"J Comput Sci Cybern"},{"key":"2377_CR36","doi-asserted-by":"crossref","unstructured":"Son LH, Van VP, Van HP (2017) Picture inference system: a new fuzzy inference system on picture fuzzy set. Appl Intell 46:652\u2013669","DOI":"10.1007\/s10489-016-0856-1"},{"key":"2377_CR37","doi-asserted-by":"publisher","unstructured":"Wang L, Zhang H, Wang J (2018) Picture fuzzy multicriteria group decision making method to hotel building energy efficiency retrofit project selection. RAIRO-Oper Res. https:\/\/doi.org\/10.1051\/ro\/2019004","DOI":"10.1051\/ro\/2019004"},{"issue":"20","key":"2377_CR38","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1016\/j.jclepro.2019.04.336","volume":"229","author":"J Ye","year":"2019","unstructured":"Ye J, Dang Y, Ding S (2019) A novel energy consumption forecasting model combining an optimized DGM (1,1) model with interval grey numbers. Journal of Cleaner Production 229(20): 256\u2013267","journal-title":"Journal of Cleaner Production"},{"issue":"1","key":"2377_CR39","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1108\/GS-12-2014-0055","volume":"5","author":"Q Li","year":"2015","unstructured":"Li Q, Zhao N (2015) Stochastic interval grey number VIKOR method based on prospect theory. Grey Systems 5(1):105\u2013116","journal-title":"Grey Systems"},{"key":"2377_CR40","doi-asserted-by":"publisher","unstructured":"Liu HC, Luan X, Lin W (2019) Grey reasoning Petri nets for large group knowledge representation and reasoning. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2019.2949770","DOI":"10.1109\/TFUZZ.2019.2949770"},{"issue":"5","key":"2377_CR41","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/S0167-6911(82)80025-X","volume":"1","author":"JL Deng","year":"1982","unstructured":"Deng JL (1982) Control problems of grey systems. Systems and Control Letters 1(5):288\u2013294","journal-title":"Systems and Control Letters"},{"issue":"3","key":"2377_CR42","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1108\/20439371211273230","volume":"2","author":"S Liu","year":"2012","unstructured":"Liu S, Fang Z, Yang Y (2012) General grey numbers and their operations. Grey Systems: Theory and Application 2(3):341\u2013349","journal-title":"Grey Systems: Theory and Application"},{"key":"2377_CR43","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.cie.2017.03.018","volume":"107","author":"H Amirian","year":"2017","unstructured":"Amirian H, Sahraeian R (2017) Solving a grey project selection scheduling using a simulated shuffled frog leaping algorithm. Comput Ind Eng 107:141\u2013149","journal-title":"Comput Ind Eng"},{"issue":"4","key":"2377_CR44","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1108\/BIJ-07-2011-0050","volume":"20","author":"S Mishra","year":"2013","unstructured":"Mishra S, Datta S, Mahapatra SS (2013) Grey-based and fuzzy TOPSIS decision-making approach for agility evaluation of mass customization systems. Benchmarking: An International Journal 20(4):440\u2013462","journal-title":"Benchmarking: An International Journal"},{"issue":"4","key":"2377_CR45","doi-asserted-by":"publisher","first-page":"1638","DOI":"10.1016\/j.eswa.2007.08.064","volume":"35","author":"YH Lin","year":"2008","unstructured":"Lin YH, Lee PC, Ting HI (2008) Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications 35(4):1638\u20131644","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"2377_CR46","doi-asserted-by":"publisher","first-page":"331","DOI":"10.3846\/20294913.2012.676996","volume":"18","author":"D Stanujkic","year":"2012","unstructured":"Stanujkic D, Magdalinovic N, Jovanovic R (2012) An objective multi-criteria approach to optimization using MOORA method and interval grey numbers. Technological and Economic Development of Economy 18 (2):331\u2013363","journal-title":"Technological and Economic Development of Economy"},{"key":"2377_CR47","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/s10489-013-0511-z","volume":"41","author":"JL Salmeron","year":"2014","unstructured":"Salmeron JL, Papageorgiou EI (2014) Fuzzy grey cognitive maps and nonlinear Hebbian learning in process control. Appl Intell 41:223\u2013234","journal-title":"Appl Intell"},{"key":"2377_CR48","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.ins.2020.03.079","volume":"529","author":"WC Yue","year":"2020","unstructured":"Yue WC, Gui WH, Xie YF (2020) Experiential knowledge representation and reasoning based on linguistic Petri nets with application to aluminum electrolysis cell condition identification. Information Sciences 529:141\u2013165","journal-title":"Information Sciences"},{"key":"2377_CR49","doi-asserted-by":"publisher","unstructured":"Yue WC, Gui WH, Chen XF (2019) Knowledge representation and reasoning using self-learning interval type-2 fuzzy Petri nets and extended TOPSIS. Int J Mach Learn Cybern. https:\/\/doi.org\/10.1007\/s13042-019-00940-7","DOI":"10.1007\/s13042-019-00940-7"},{"issue":"4","key":"2377_CR50","doi-asserted-by":"publisher","first-page":"899","DOI":"10.1016\/j.cie.2013.09.004","volume":"66","author":"HC Liu","year":"2013","unstructured":"Liu HC, Lin QL, Ren ML (2013) Fault diagnosis and cause analysis using fuzzy evidential reasoning approach and dynamic adaptive fuzzy Petri nets. Comput Ind Eng 66(4):899\u2013908","journal-title":"Comput Ind Eng"},{"key":"2377_CR51","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.jlp.2017.03.011","volume":"47","author":"J Zhou","year":"2017","unstructured":"Zhou J, Reniers G (2017) Analysis of emergency response actions for preventing fire-induced domino effects based on an approach of reversed fuzzy Petri-net. J Loss Prevention Process Ind 47:169\u2013173","journal-title":"J Loss Prevention Process Ind"},{"key":"2377_CR52","doi-asserted-by":"publisher","first-page":"4239","DOI":"10.1109\/TNNLS.2019.2953177","volume":"31","author":"C Dong","year":"2020","unstructured":"Dong C, Zhang Q (2020) The cubic dynamic uncertain causality graph: a methodology for temporal process modeling and diagnostic logic inference. IEEE Transactions on Neural Networks and Learning Systems 31:4239\u20134253","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"4","key":"2377_CR53","doi-asserted-by":"publisher","first-page":"498","DOI":"10.1007\/s11684-020-0791-8","volume":"14","author":"DP Ning","year":"2020","unstructured":"Ning DP, Zhang Z, Qiu K (2020) Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of sex development. Frontiers of Medicine 14(4):498\u2013505","journal-title":"Frontiers of Medicine"},{"issue":"1","key":"2377_CR54","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/s10489-019-01520-6","volume":"50","author":"L Li","year":"2020","unstructured":"Li L, Yue WC (2020) Dynamic uncertain causality graph based on Intuitionistic fuzzy sets and its application to root cause analysis. Applied Intelligence 50(1):241\u2013255","journal-title":"Applied Intelligence"},{"issue":"8","key":"2377_CR55","doi-asserted-by":"publisher","first-page":"1781","DOI":"10.1007\/s13042-020-01072-z","volume":"11","author":"L Li","year":"2020","unstructured":"Li L, Xie YF, Chen XF (2020) Dynamic uncertain causality graph based on cloud model theory for knowledge representation and reasoning. Int J Mach Learn Cybern 11(8):1781\u20131799","journal-title":"Int J Mach Learn Cybern"},{"key":"2377_CR56","first-page":"1","volume":"16","author":"R Beloslav","year":"2010","unstructured":"Beloslav R, Krassimir T (2010) Operation division by n over intuitionistic fuzzy sets. Notes on Instuitionistic Fuzzy Sets 16:1\u20134","journal-title":"Notes on Instuitionistic Fuzzy Sets"},{"key":"2377_CR57","first-page":"169","volume":"9","author":"T Chen","year":"2007","unstructured":"Chen T (2007) Remarks on the subtraction and division operations over intuitionistic fuzzy sets and interval-valued fuzzy sets. International Journal of Fuzzy Systems 9:169\u2013172","journal-title":"International Journal of Fuzzy Systems"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02377-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02377-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02377-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T23:58:52Z","timestamp":1675209532000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02377-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,22]]},"references-count":57,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["2377"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02377-4","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"value":"0924-669X","type":"print"},{"value":"1573-7497","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,22]]},"assertion":[{"value":"23 March 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 April 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}