{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T21:11:03Z","timestamp":1780607463018,"version":"3.54.1"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T00:00:00Z","timestamp":1698364800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T00:00:00Z","timestamp":1698364800000},"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":["Ann Oper Res"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s10479-023-05649-z","type":"journal-article","created":{"date-parts":[[2023,10,27]],"date-time":"2023-10-27T11:03:21Z","timestamp":1698404601000},"page":"289-324","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Failure mode and effect analysis by exploiting text mining and multi-view group consensus for the defect detection of electric vehicles in social media data"],"prefix":"10.1007","volume":"340","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0655-1255","authenticated-orcid":false,"given":"Decui","family":"Liang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangshun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,10,27]]},"reference":[{"issue":"1","key":"5649_CR1","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.dss.2012.04.005","volume":"54","author":"AS Abrahams","year":"2012","unstructured":"Abrahams, A. S., Jiao, J., Wang, G. A., & Fan, W. (2012). Vehicle defect discovery from social media. Decision Support Systems, 54(1), 87\u201397.","journal-title":"Decision Support Systems"},{"issue":"6","key":"5649_CR2","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1111\/poms.12303","volume":"24","author":"AS Abrahams","year":"2015","unstructured":"Abrahams, A. S., Fan, W., Wang, G. A., Zhang, Z. J., & Jiao, J. (2015). An integrated text analytic framework for product defect discovery. Production and Operations Management, 24(6), 975\u2013990.","journal-title":"Production and Operations Management"},{"key":"5649_CR3","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/j.ins.2018.04.079","volume":"454\u2013455","author":"RK Amplayo","year":"2018","unstructured":"Amplayo, R. K., Lee, S., & Song, M. (2018). Incorporating product description to sentiment topic models for improved aspect-based sentiment analysis. Information Sciences, 454\u2013455, 200\u2013215.","journal-title":"Information Sciences"},{"key":"5649_CR4","first-page":"50","volume":"1","author":"C Angeli","year":"2010","unstructured":"Angeli, C. (2010). Diagnostic expert systems: From expert\u2019s knowledge to real-time systems. Advanced knowledge based systems Model, applications & research, 1, 50\u201373.","journal-title":"Advanced knowledge based systems Model, applications & research"},{"issue":"4","key":"5649_CR5","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.jsm.2019.08.002","volume":"18","author":"J Balaraju","year":"2019","unstructured":"Balaraju, J., Govinda Raj, M., & Murthy, C. S. (2019). Fuzzy-FMEA risk evaluation approach for LHD machine-A case study. Journal of Sustainable Mining, 18(4), 257\u2013268.","journal-title":"Journal of Sustainable Mining"},{"issue":"1","key":"5649_CR6","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1109\/TSMCA.2008.2006373","volume":"39","author":"D Ben-Arieh","year":"2009","unstructured":"Ben-Arieh, D., Easton, T., & Evans, B. (2009). Minimum cost consensus with quadratic cost functions. IEEE Transactions on Systems, Man, and Cybernetics Part A Systems and Humans, 39(1), 210\u2013217.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics Part A Systems and Humans"},{"issue":"3","key":"5649_CR7","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1111\/deci.12406","volume":"52","author":"M Bogaert","year":"2021","unstructured":"Bogaert, M., Ballings, M., Bergmans, R., & Van den Poel, D. (2021). Predicting self-declared movie watching behavior using facebook data and information-fusion sensitivity analysis. Decision Sciences, 52(3), 776\u2013810.","journal-title":"Decision Sciences"},{"key":"5649_CR8","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1186\/1748-717X-8-127","volume":"8","author":"MC Cantone","year":"2013","unstructured":"Cantone, M. C., et al. (2013). Application of failure mode and effects analysis to treatment planning in scanned proton beam radiotherapy. Radiation Oncology, 8, 127\u2013136.","journal-title":"Radiation Oncology"},{"key":"5649_CR9","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1016\/j.ress.2017.09.017","volume":"169","author":"S Carpitella","year":"2018","unstructured":"Carpitella, S., Certa, A., Izquierdo, J., & Manuela La Fata, C. (2018). A combined multi-criteria approach to support FMECA analyses: A real-world case. Reliability Engineering & System Safety, 169, 394\u2013402.","journal-title":"Reliability Engineering & System Safety"},{"key":"5649_CR10","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.procs.2019.09.032","volume":"158","author":"C Catal","year":"2019","unstructured":"Catal, C., & Tekinerdogan, B. (2019). Aligning education for the life sciences domain to support digitalization and industry 4.0. Procedia Computer Science, 158, 99\u2013106.","journal-title":"Procedia Computer Science"},{"key":"5649_CR11","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.cie.2017.04.018","volume":"108","author":"A Certa","year":"2017","unstructured":"Certa, A., Enea, M., Galante, G. M., & La Fata, C. M. (2017). ELECTRE TRI-based approach to the failure modes classification on the basis of risk parameters: An alternative to the risk priority number. Computers & Industrial Engineering, 108, 100\u2013110.","journal-title":"Computers & Industrial Engineering"},{"issue":"20","key":"5649_CR12","doi-asserted-by":"crossref","first-page":"7235","DOI":"10.1016\/j.eswa.2015.04.036","volume":"42","author":"WL Chang","year":"2015","unstructured":"Chang, W. L., Tay, K. M., & Lim, C. P. (2015). Clustering and visualization of failure modes using an evolving tree. Expert Systems with Applications, 42(20), 7235\u20137244.","journal-title":"Expert Systems with Applications"},{"issue":"9","key":"5649_CR13","doi-asserted-by":"crossref","first-page":"11261","DOI":"10.1016\/j.eswa.2011.02.173","volume":"38","author":"MY Chen","year":"2011","unstructured":"Chen, M. Y. (2011). Predicting corporate financial distress based on integration of decision tree classification and logistic regression. Expert Systems with Applications, 38(9), 11261\u201311272.","journal-title":"Expert Systems with Applications"},{"issue":"9","key":"5649_CR14","doi-asserted-by":"crossref","first-page":"1375","DOI":"10.1080\/01605682.2019.1609888","volume":"71","author":"X Chen","year":"2020","unstructured":"Chen, X., Xu, W. J., Liang, H. M., & Dong, Y. C. (2020). The classification-based consensus in multi-attribute group decision-making. Journal of the Operational Research Society, 71(9), 1375\u20131389.","journal-title":"Journal of the Operational Research Society"},{"key":"5649_CR15","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2022.2068812","author":"YC Dong","year":"2022","unstructured":"Dong, Y. C., Wu, S. Q., Shi, X. P., Li, Y., & Chiclana, F. (2022). Clustering method with axiomatization to support failure mode and effect analysis. IISE Transactions. https:\/\/doi.org\/10.1080\/24725854.2022.2068812","journal-title":"IISE Transactions"},{"key":"5649_CR16","doi-asserted-by":"crossref","first-page":"106828","DOI":"10.1016\/j.knosys.2021.106828","volume":"217","author":"ZJ Du","year":"2021","unstructured":"Du, Z. J., Yu, S. M., Luo, H. Y., & Lin, X. D. (2021). Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity. Knowledge-Based Systems, 217, 106828.","journal-title":"Knowledge-Based Systems"},{"key":"5649_CR17","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.enconman.2018.02.087","volume":"164","author":"JL Fan","year":"2018","unstructured":"Fan, J. L., Wang, X. K., Wu, L. F., Zhou, H. M., Zhang, F. C., Yu, X., Lu, X. H., & Xiang, Y. Z. (2018). Comparison of support vector machine and extreme gradient boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China. Energy Conversion and Management, 164, 102\u2013111.","journal-title":"Energy Conversion and Management"},{"key":"5649_CR18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dss.2016.06.010","volume":"90","author":"M Farhadloo","year":"2016","unstructured":"Farhadloo, M., Patterson, R. A., & Rolland, E. (2016). Modeling customer satisfaction from unstructured data using a Bayesian approach. Decision Support Systems, 90, 1\u201311.","journal-title":"Decision Support Systems"},{"key":"5649_CR19","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.ssci.2017.10.018","volume":"102","author":"R Fattahi","year":"2018","unstructured":"Fattahi, R., & Khalilzadeh, M. (2018). Risk evaluation using a novel hybrid method based on FMEA, extended MULTIMOORA, and AHP methods under fuzzy environment. Safety Science, 102, 290\u2013300.","journal-title":"Safety Science"},{"key":"5649_CR20","doi-asserted-by":"crossref","first-page":"103451","DOI":"10.1016\/j.compind.2021.103451","volume":"129","author":"MA Filz","year":"2021","unstructured":"Filz, M. A., Langner, J. E. B., Herrmann, C., & Thiede, S. (2021). Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning. Computers in Industry, 129, 103451.","journal-title":"Computers in Industry"},{"key":"5649_CR21","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.dss.2017.10.012","volume":"105","author":"DM Goldberg","year":"2018","unstructured":"Goldberg, D. M., & Abrahams, A. S. (2018). A Tabu search heuristic for smoke term curation in safety defect discovery. Decision Support Systems, 105, 52\u201365.","journal-title":"Decision Support Systems"},{"issue":"1","key":"5649_CR22","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.ejor.2014.06.035","volume":"240","author":"ZW Gong","year":"2015","unstructured":"Gong, Z. W., Zhang, H. H., Forrest, J., Li, L., & Xu, X. (2015). Two consensus models based on the minimum cost and maximum return regarding either all individuals or one individual. European Journal of Operational Research, 240(1), 183\u2013192.","journal-title":"European Journal of Operational Research"},{"key":"5649_CR23","first-page":"14","volume":"69","author":"XJ Gou","year":"2021","unstructured":"Gou, X. J., & Xu, Z. S. (2021). Managing noncooperative behaviors in large-scale group decision-making with linguistic preference orderings: The application in Internet Venture Capital. Information Fusion, 69, 14.","journal-title":"Information Fusion"},{"issue":"3","key":"5649_CR24","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1080\/01605682.2020.1854629","volume":"73","author":"SS He","year":"2022","unstructured":"He, S. S., Wang, Y. T., Peng, J. J., & Wang, J. Q. (2022). Risk ranking of wind turbine systems through an improved FMEA based on probabilistic linguistic information and the TODIM method. Journal of the Operational Research Society, 73(3), 467\u2013480.","journal-title":"Journal of the Operational Research Society"},{"key":"5649_CR25","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1016\/j.asoc.2014.08.009","volume":"24","author":"JY Heo","year":"2014","unstructured":"Heo, J. Y., & Yang, J. Y. (2014). AdaBoost based bankruptcy forecasting of Korean construction companies. Applied Soft Computing Journal, 24, 494\u2013499.","journal-title":"Applied Soft Computing Journal"},{"key":"5649_CR26","volume-title":"Adaptation in natural and artificial systems","author":"JH Holland","year":"1975","unstructured":"Holland, J. H. (1975). Adaptation in natural and artificial systems. University of Michigan Press."},{"key":"5649_CR27","first-page":"1","volume":"5","author":"M Hossin","year":"2015","unstructured":"Hossin, M., & Sulaiman, M. N. (2015). A review on evaluation metrics for data classification evaluations. International Journal of Data Mining & Knowledge Management Process, 5, 1\u201311.","journal-title":"International Journal of Data Mining & Knowledge Management Process"},{"issue":"3","key":"5649_CR28","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1109\/TFUZZ.2019.2955916","volume":"29","author":"J Huang","year":"2021","unstructured":"Huang, J., Xu, D. H., Liu, H. C., & Song, M. S. (2021). A new model for failure mode and effect analysis integrating Linguistic Z-numbers and projection method. IEEE Transactions on Fuzzy Systems, 29(3), 530\u2013538.","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"5649_CR29","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/s10479-019-03447-0","volume":"312","author":"J Huang","year":"2022","unstructured":"Huang, J., Liu, H. C., Duan, C. Y., & Song, M. S. (2022). An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method. Annals of Operations Research, 312, 235\u2013258.","journal-title":"Annals of Operations Research"},{"issue":"1","key":"5649_CR30","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.arcontrol.2004.12.002","volume":"29","author":"R Isermann","year":"2005","unstructured":"Isermann, R. (2005). Model-based fault-detection and diagnosis-status and applications. Annual Reviews in Control, 29(1), 71\u201385.","journal-title":"Annual Reviews in Control"},{"issue":"2","key":"5649_CR31","first-page":"356","volume":"32","author":"GX Jiang","year":"2020","unstructured":"Jiang, G. X., Hong, L. J., & Nelson, B. L. (2020). Online risk monitoring using offline simulation. INFORMS Journal on Computing, 32(2), 356\u2013375.","journal-title":"INFORMS Journal on Computing"},{"issue":"15","key":"5649_CR32","doi-asserted-by":"crossref","first-page":"117398","DOI":"10.1016\/j.eswa.2022.117398","volume":"202","author":"ZQ Kang","year":"2022","unstructured":"Kang, Z. Q., Catal, C., & Tekinerdogan, B. (2022). Product failure detection for production lines using a data-driven model. Expert Systems with Applications, 202(15), 117398.","journal-title":"Expert Systems with Applications"},{"key":"5649_CR33","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1080\/08982112.2019.1677913","volume":"32","author":"GF Li","year":"2020","unstructured":"Li, G. F., Li, Y., Chen, C. H., He, J. L., Hou, T. W., & Chen, J. H. (2020). Advanced FMEA method based on interval 2-tuple linguistic variables and TOPSIS. Quality Engineering, 32, 653\u2013662.","journal-title":"Quality Engineering"},{"key":"5649_CR34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compind.2018.07.002","volume":"104","author":"Z Li","year":"2019","unstructured":"Li, Z., Wang, Y., & Wang, K. S. (2019). A deep learning driven method for fault classification and degradation assessment in mechanical equipment. Computers in Industry, 104, 1\u201310.","journal-title":"Computers in Industry"},{"key":"5649_CR35","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2021.3073373","author":"DC Liang","year":"2021","unstructured":"Liang, D. C., & Li, F. S. (2021). Risk assessment in failure mode and effect analysis: Improved ORESTE Method with hesitant pythagorean fuzzy information. IEEE Transactions on Engineering Management. https:\/\/doi.org\/10.1109\/TEM.2021.3073373","journal-title":"IEEE Transactions on Engineering Management"},{"key":"5649_CR36","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2022.3180164","author":"DC Liang","year":"2022","unstructured":"Liang, D. C., Li, F. S., Wang, M. W., & Xu, Z. S. (2022). Two-stage assignment classification model based on an improved AHPSort II with heterogeneous criteria for location selection of electric vehicle charging stations. IEEE Transactions on Engineering Management. https:\/\/doi.org\/10.1109\/TEM.2022.3180164","journal-title":"IEEE Transactions on Engineering Management"},{"key":"5649_CR37","doi-asserted-by":"publisher","DOI":"10.1080\/01605682.2021.2020694","author":"DC Liang","year":"2022","unstructured":"Liang, D. C., Li, F. S., & Xu, Z. S. (2022). A group-based FMEA approach with dynamic heterogeneous social network consensus reaching model for uncertain reliability assessment. Journal of the Operational Research Society. https:\/\/doi.org\/10.1080\/01605682.2021.2020694","journal-title":"Journal of the Operational Research Society"},{"issue":"10","key":"5649_CR38","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.1109\/TFUZZ.2019.2939970","volume":"28","author":"HM Liang","year":"2020","unstructured":"Liang, H. M., Dong, Y. C., Ding, Z. G., Ure\u00f1a, R., Chiclana, F., & Herrera-Viedma, E. (2020). Consensus reaching with time constraints and minimum adjustments in group with bounded confidence effects. IEEE Transactions on Fuzzy Systems, 28(10), 2466\u20132479.","journal-title":"IEEE Transactions on Fuzzy Systems"},{"issue":"3","key":"5649_CR39","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1287\/ijoc.2018.0839","volume":"31","author":"YJ Lin","year":"2019","unstructured":"Lin, Y. J., Nelson, B. L., & Pei, L. D. (2019). Virtual statistics in simulation via k nearest neighbors. INFORMS Journal on Computing, 31(3), 576\u2013592.","journal-title":"INFORMS Journal on Computing"},{"issue":"4","key":"5649_CR40","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1080\/08982112.2018.1448089","volume":"30","author":"HC Liu","year":"2018","unstructured":"Liu, H. C., You, X. Y., Tsung, F., & Ji, P. (2018). An improved approach for failure mode and effect analysis involving large group of experts: An application to the healthcare field. Quality Engineering, 30(4), 762\u2013775.","journal-title":"Quality Engineering"},{"key":"5649_CR41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dss.2017.10.009","volume":"105","author":"Y Liu","year":"2018","unstructured":"Liu, Y., Jiang, C. Q., & Zhao, H. M. (2018). Using contextual features and multi-view ensemble learning in product defect identification from online discussion forums. Decision Support Systems, 105, 1\u201312.","journal-title":"Decision Support Systems"},{"key":"5649_CR42","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3105742","author":"Z Liu","year":"2021","unstructured":"Liu, Z., Mou, X., Liu, H. C., & Zhang, L. (2021). Failure mode and effect analysis based on probabilistic linguistic preference relations and gained and lost dominance score method. IEEE Transactions on Cybernetics. https:\/\/doi.org\/10.1109\/TCYB.2021.3105742","journal-title":"IEEE Transactions on Cybernetics"},{"key":"5649_CR43","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.ress.2018.11.018","volume":"183","author":"HW Lo","year":"2019","unstructured":"Lo, H. W., Liou, J. J. H., Huang, C. N., & Chuang, Y. C. (2019). A novel failure mode and effect analysis model for machine tool risk analysis. Reliability Engineering & System Safety, 183, 173\u2013183.","journal-title":"Reliability Engineering & System Safety"},{"issue":"1","key":"5649_CR44","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.eswa.2006.09.026","volume":"34","author":"SC Lo","year":"2008","unstructured":"Lo, S. C. (2008). Web service quality control based on text mining using support vector machine. Expert Systems with Applications, 34(1), 603\u2013610.","journal-title":"Expert Systems with Applications"},{"key":"5649_CR45","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.inffus.2019.02.001","volume":"50","author":"ZZ Ma","year":"2019","unstructured":"Ma, Z. Z., Zhu, J. J., Ponnambalam, K., & Zhang, S. T. (2019). A clustering method for large-scale group decision-making with multi-stage hesitant fuzzy linguistic terms. Information Fusion, 50, 231\u2013250.","journal-title":"Information Fusion"},{"key":"5649_CR46","doi-asserted-by":"publisher","unstructured":"Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. https:\/\/doi.org\/10.48550\/arXiv.1301.3781","DOI":"10.48550\/arXiv.1301.3781"},{"key":"5649_CR47","first-page":"3111","volume":"26","author":"T Mikolov","year":"2013","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. Neural Information Processing Systems, 26, 3111\u20133119.","journal-title":"Neural Information Processing Systems"},{"key":"5649_CR48","doi-asserted-by":"crossref","first-page":"107369","DOI":"10.1016\/j.asoc.2021.107369","volume":"107","author":"SJ Qu","year":"2021","unstructured":"Qu, S. J., Li, Y. M., & Ji, Y. (2021). The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances. Applied Soft Computing, 107, 107369.","journal-title":"Applied Soft Computing"},{"key":"5649_CR49","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P. J. (1987). Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53\u201365.","journal-title":"Journal of Computational and Applied Mathematics"},{"issue":"5","key":"5649_CR50","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/0306-4573(88)90021-0","volume":"24","author":"G Salton","year":"1988","unstructured":"Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513\u2013523.","journal-title":"Information Processing & Management"},{"key":"5649_CR51","volume-title":"Failure mode and effect analysis: FMEA from theory to execution","author":"DH Stamatis","year":"2003","unstructured":"Stamatis, D. H. (2003). Failure mode and effect analysis: FMEA from theory to execution. ASQ Quality Press."},{"issue":"1","key":"5649_CR52","doi-asserted-by":"crossref","first-page":"758","DOI":"10.2991\/ijcis.d.210201.001","volume":"14","author":"HL Tang","year":"2021","unstructured":"Tang, H. L., Wan, S. F., Li, C. C., Liang, H. M., & Dong, Y. C. (2021). Consensus reaching process in the two-rank group decision-making with heterogeneous preference information. International Journal of Computational Intelligence Systems, 14(1), 758\u2013768.","journal-title":"International Journal of Computational Intelligence Systems"},{"key":"5649_CR53","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.knosys.2019.05.019","volume":"180","author":"M Tang","year":"2019","unstructured":"Tang, M., Zhou, X. Y., Liao, H. C., Xu, J. P., & Fujita, H. (2019). Francisco Herrera, Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making. Knowledge-Based Systems, 180, 62\u201374.","journal-title":"Knowledge-Based Systems"},{"key":"5649_CR54","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1016\/j.ejor.2019.10.006","volume":"282","author":"M Tang","year":"2020","unstructured":"Tang, M., Liao, H. C., Xu, J. P., Streimikiene, D., & Zheng, X. S. (2020). Adaptive consensus reaching process with hybrid strategies for large-scale group decision making. European Journal of Operational Research, 282, 957\u2013971.","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"5649_CR55","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.ejor.2020.12.028","volume":"293","author":"M Tang","year":"2021","unstructured":"Tang, M., Liao, H. C., Mi, X. M., Lev, B., & Pedrycz, W. (2021). A hierarchical consensus reaching process for group decision making with noncooperative behaviors. European Journal of Operational Research, 293(2), 632\u2013642.","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"5649_CR56","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1287\/mksc.2018.1123","volume":"38","author":"A Timoshenko","year":"2019","unstructured":"Timoshenko, A., & Hauser, J. R. (2019). Identifying customer needs from user-generated content. Marketing Science, 38(1), 1\u201320.","journal-title":"Marketing Science"},{"issue":"3","key":"5649_CR57","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1109\/TII.2016.2607179","volume":"13","author":"L Wang","year":"2017","unstructured":"Wang, L., Zhang, Z., Long, H., Xu, J., & Liu, R. (2017). Wind turbine gearbox failure identification with deep neural networks. IEEE Transactions on Industrial Informatics, 13(3), 1360\u20131368.","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"5649_CR58","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3192","author":"JP Wei","year":"2022","unstructured":"Wei, J. P., Qu, S. J., Wang, Q. H., Luan, D. Q., & Zhao, X. H. (2022). The novel data-driven robust maximum expert mixed integer consensus models under multirole\u2019s opinions uncertainty by considering noncooperators. IEEE Transactions on Computational Social Systems. https:\/\/doi.org\/10.1109\/TCSS.2022.3192","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"5649_CR59","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.dss.2016.06.016","volume":"90","author":"M Winkler","year":"2016","unstructured":"Winkler, M., Abrahams, A. S., Gruss, R., & Ehsani, J. P. (2016). Toy safety surveillance from online reviews. Decision Support Systems, 90, 23\u201332.","journal-title":"Decision Support Systems"},{"issue":"1","key":"5649_CR60","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1287\/ijoc.2018.0868","volume":"32","author":"D Won","year":"2020","unstructured":"Won, D., Manzour, H., & Chaovalitwongse, W. (2020). Convex optimization for group feature selection in networked data. INFORMS Journal on Computing, 32(1), 182\u2013198.","journal-title":"INFORMS Journal on Computing"},{"key":"5649_CR61","doi-asserted-by":"publisher","DOI":"10.1007\/s10796-021-10122-y","author":"N Zaman","year":"2021","unstructured":"Zaman, N., et al. (2021). Cross-category defect discovery from online reviews: Supplementing sentiment with category-specific semantics. Information Systems Frontiers. https:\/\/doi.org\/10.1007\/s10796-021-10122-y","journal-title":"Information Systems Frontiers"},{"issue":"2","key":"5649_CR62","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/TR.2018.2869787","volume":"68","author":"HJ Zhang","year":"2019","unstructured":"Zhang, H. J., Dong, Y. C., Palomares-Carrascosa, I., & Zhou, H. W. (2019). Failure mode and effect analysis in a linguistic context: A consensus-based multiattribute group decision-making approach. IEEE Transactions on Reliability, 68(2), 566\u2013582.","journal-title":"IEEE Transactions on Reliability"},{"issue":"11","key":"5649_CR63","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1080\/24725854.2020.1731774","volume":"52","author":"HJ Zhang","year":"2020","unstructured":"Zhang, H. J., Dong, Y. C., Xiao, J., Chiclana, F., & Herrera-Viedma, E. (2020). Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information. IISE Transactions, 52(11), 1275\u20131296.","journal-title":"IISE Transactions"},{"key":"5649_CR64","doi-asserted-by":"crossref","first-page":"107425","DOI":"10.1016\/j.ress.2020.107425","volume":"208","author":"HJ Zhang","year":"2021","unstructured":"Zhang, H. J., Dong, Y. C., Xiao, J., Chiclana, F., & Herrera-Viedma, E. (2021). Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts. Reliability Engineering & System Safety, 208, 107425.","journal-title":"Reliability Engineering & System Safety"},{"key":"5649_CR65","doi-asserted-by":"crossref","unstructured":"Zhang, X., Niu, S., Zhang, D., Wang, G. A., & Fan, W. (2015). Predicting vehicle recalls with user-generated contents: A text mining approach. Intelligence and Security Informatics: Pacific Asia Workshop.","DOI":"10.1007\/978-3-319-18455-5_3"},{"key":"5649_CR66","doi-asserted-by":"crossref","first-page":"113369","DOI":"10.1016\/j.dss.2020.113369","volume":"137","author":"L Zheng","year":"2020","unstructured":"Zheng, L., He, Z., & He, S. G. (2020). A novel probabilistic graphic model to detect product defects from social media data. Decision Support Systems, 137, 113369.","journal-title":"Decision Support Systems"},{"key":"5649_CR67","doi-asserted-by":"crossref","first-page":"115030","DOI":"10.1016\/j.eswa.2021.115030","volume":"178","author":"L Zheng","year":"2021","unstructured":"Zheng, L., He, Z., & He, S. G. (2021). An integrated probabilistic graphic model and FMEA approach to identify product defects from social media data. Expert Systems with Applications, 178, 115030.","journal-title":"Expert Systems with Applications"},{"key":"5649_CR68","doi-asserted-by":"crossref","first-page":"107443","DOI":"10.1016\/j.cie.2021.107443","volume":"158","author":"XY Zhong","year":"2021","unstructured":"Zhong, X. Y., Xu, X. H., & Yin, X. P. (2021). A multi-stage hybrid consensus reaching model for multi-attribute large group decision-making: Integrating cardinal consensus and ordinal consensus. Computers & Industrial Engineering, 158, 107443.","journal-title":"Computers & Industrial Engineering"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-023-05649-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-023-05649-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-023-05649-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T18:21:25Z","timestamp":1724869285000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-023-05649-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,27]]},"references-count":68,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["5649"],"URL":"https:\/\/doi.org\/10.1007\/s10479-023-05649-z","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,27]]},"assertion":[{"value":"28 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 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":"Decui Liang declares that he has no conflict of interest. Fangshun Li declares that he has no conflict of interest. Xinyi Chen declares that she has no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}