{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T14:33:09Z","timestamp":1773412389488,"version":"3.50.1"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T00:00:00Z","timestamp":1658707200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T00:00:00Z","timestamp":1658707200000},"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":["72173096"],"award-info":[{"award-number":["72173096"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1007\/s10479-022-04849-3","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T02:02:51Z","timestamp":1658714571000},"page":"425-452","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["A novel framework of credit risk feature selection for SMEs during industry 4.0"],"prefix":"10.1007","volume":"350","author":[{"given":"Yang","family":"Lu","sequence":"first","affiliation":[]},{"given":"Lian","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1244-5886","authenticated-orcid":false,"given":"Baofeng","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Jiaxiang","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4688-0619","authenticated-orcid":false,"given":"Mohammad Zoynul","family":"Abedin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"key":"4849_CR1","doi-asserted-by":"publisher","first-page":"19864","DOI":"10.1109\/ACCESS.2020.3048018","volume":"9","author":"MZ Abedin","year":"2020","unstructured":"Abedin, M. Z., Chi, G., Uddin, M. M., Satu, M. S., & Hajek, P. (2020). Tax default prediction using feature transformation-based machine learning. IEEE Access, 9, 19864\u201319881.","journal-title":"IEEE Access"},{"key":"4849_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04420-6","author":"MZ Abedin","year":"2021","unstructured":"Abedin, M. Z., Moon, M. H., Hassan, M. K., & Petr, H. (2021). Deep learning-based exchange rate prediction during the COVID-19 pandemic. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-021-04420-6","journal-title":"Annals of Operations Research"},{"key":"4849_CR3","unstructured":"Agricultural Bank of China. (2011). Measures for risk classification management of credit assets of Agricultural Bank of China. Agricultural Bank of China."},{"issue":"2","key":"4849_CR4","first-page":"404","volume":"217","author":"M Ali","year":"2012","unstructured":"Ali, M., Siarry, P., & Pant, M. (2012). An efficient differential evolution based algorithm for solving multi-objective optimization problems. European Journal of Operational Research, 217(2), 404\u2013416.","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"4849_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00500-016-2442-1","volume":"22","author":"I Aljarah","year":"2016","unstructured":"Aljarah, I., Faris, H., & Mirjalili, S. (2016). Optimizing connection weights in neural networks using the whale optimization algorithm. Soft Computing, 22(1), 1\u201315.","journal-title":"Soft Computing"},{"key":"4849_CR6","doi-asserted-by":"publisher","first-page":"100450","DOI":"10.1016\/j.gfj.2018.09.003","volume":"43","author":"EI Altman","year":"2020","unstructured":"Altman, E. I., Esentato, M., & Sabato, G. (2020). Assessing the credit worthiness of Italian SMEs and mini-bond Issuers. Global Finance Journal, 43, 100450.","journal-title":"Global Finance Journal"},{"key":"4849_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04235-5","author":"GS Bagale","year":"2021","unstructured":"Bagale, G. S., Vandadi, V. R., Singh, D., et al. (2021). Small and medium-sized enterprise\u2019s contribution in digital technology. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-021-04235-5","journal-title":"Annals of Operations Research"},{"key":"4849_CR8","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.omega.2018.02.001","volume":"83","author":"CG Bai","year":"2019","unstructured":"Bai, C. G., Shi, B. F., Liu, F., & Sarkis, J. (2019). Banking credit worthiness: Evaluating the complex relationships. Omega, 83, 26\u201338.","journal-title":"Omega"},{"key":"4849_CR9","unstructured":"China Postal Savings Bank. (2009). Standard for personal credit interface of China Postal Savings Bank."},{"issue":"3","key":"4849_CR10","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1007\/s10887-005-3533-5","volume":"10","author":"T Beck","year":"2005","unstructured":"Beck, T., Demirguc-Kunt, A., & Levine, R. (2005). SMEs, growth, and poverty: cross-country evidence. Journal of Economic Growth, 10(3), 199\u2013229.","journal-title":"Journal of Economic Growth"},{"issue":"2","key":"4849_CR11","doi-asserted-by":"publisher","first-page":"3302","DOI":"10.1016\/j.eswa.2008.01.005","volume":"36","author":"T Bellotti","year":"2009","unstructured":"Bellotti, T., & Crook, J. (2009). Support vector machines for credit scoring and discovery of significant features. Expert Systems with Applications, 36(2), 3302\u20133308.","journal-title":"Expert Systems with Applications"},{"issue":"7","key":"4849_CR12","doi-asserted-by":"publisher","first-page":"1893","DOI":"10.1007\/s13042-018-0838-1","volume":"10","author":"A Bhattacharya","year":"2018","unstructured":"Bhattacharya, A., Goswami, R. T., & Mukherjee, K. (2018). A feature selection technique based on rough set and improvised PSO algorithm (PSORS-FS) for permission based detection of Android malwares. International Journal of Machine Learning and Cybernetics, 10(7), 1893\u20131907.","journal-title":"International Journal of Machine Learning and Cybernetics"},{"issue":"3","key":"4849_CR13","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1080\/09537280500285334","volume":"17","author":"AM Blanc Alquier","year":"2006","unstructured":"Blanc Alquier, A. M., & Lagasse Tignol, M. H. (2006). Risk management in small and medium-sized enterprises. Production Planning & Control, 17(3), 273\u2013282.","journal-title":"Production Planning & Control"},{"issue":"11","key":"4849_CR14","doi-asserted-by":"publisher","first-page":"2523","DOI":"10.1080\/1540496X.2019.1577237","volume":"55","author":"NN Chai","year":"2019","unstructured":"Chai, N. N., Wu, B., Yang, W. W., & Shi, B. F. (2019). A multi criteria approach for modeling small enterprise credit rating: evidence from China. Emerging Markets Finance and Trade, 55(11), 2523\u20132543.","journal-title":"Emerging Markets Finance and Trade"},{"issue":"7","key":"4849_CR15","doi-asserted-by":"publisher","first-page":"4902","DOI":"10.1016\/j.eswa.2009.12.025","volume":"37","author":"FL Chen","year":"2010","unstructured":"Chen, F. L., & Li, F. C. (2010). Combination of feature selection approaches with SVM in credit scoring. Expert Systems with Applications, 37(7), 4902\u20134909.","journal-title":"Expert Systems with Applications"},{"key":"4849_CR16","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1016\/j.procs.2017.11.423","volume":"122","author":"H Chen","year":"2017","unstructured":"Chen, H., & Xiang, Y. (2017). The study of credit scoring model based on group lasso. Procedia Computer Science, 122, 677\u2013684.","journal-title":"Procedia Computer Science"},{"key":"4849_CR17","first-page":"1","volume":"5","author":"W Chen","year":"2020","unstructured":"Chen, W., Li, Z., & Guo, J. (2020). A VNS-EDA algorithm-based feature selection for credit risk classification. Mathematical Problems in Engineering, 5, 1\u201314.","journal-title":"Mathematical Problems in Engineering"},{"issue":"10","key":"4849_CR18","doi-asserted-by":"publisher","first-page":"1834","DOI":"10.3390\/su9101834","volume":"9","author":"G Chi","year":"2017","unstructured":"Chi, G., & Zhang, Z. (2017). Multi criteria credit rating model for small enterprise using a nonparametric method. Sustainability, 9(10), 1834.","journal-title":"Sustainability"},{"issue":"5","key":"4849_CR19","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.1016\/j.jbusres.2014.10.003","volume":"68","author":"F Ciampi","year":"2015","unstructured":"Ciampi, F. (2015). Corporate governance characteristics and default prediction modeling for small enterprises an empirical analysis of Italian firms. Journal of Business Research, 68(5), 1012\u20131025.","journal-title":"Journal of Business Research"},{"issue":"3","key":"4849_CR20","doi-asserted-by":"publisher","first-page":"2141","DOI":"10.1007\/s11192-020-03856-0","volume":"126","author":"F Ciampi","year":"2021","unstructured":"Ciampi, F., Giannozzi, A., Marzi, G., & Altman, E. I. (2021). Rethinking SME default prediction: a systematic literature review and future perspectives. Scientometrics, 126(3), 2141\u20132188.","journal-title":"Scientometrics"},{"issue":"1","key":"4849_CR21","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.ijforecast.2011.07.006","volume":"28","author":"SF Crone","year":"2012","unstructured":"Crone, S. F., & Finlay, S. (2012). Instance sampling in credit scoring: an empirical study of sample size and balancing. International Journal of Forecasting, 28(1), 224\u2013238.","journal-title":"International Journal of Forecasting"},{"key":"4849_CR22","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1007\/s10479-020-03612-w","volume":"311","author":"M Dia","year":"2022","unstructured":"Dia, M., Takouda, P. M., & Golmohammadi, A. (2022). Assessing the performance of Canadian credit unions using a three-stage network bootstrap DEA. Annals of Operations Research, 311, 641\u2013673.","journal-title":"Annals of Operations Research"},{"key":"4849_CR23","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ijinfomgt.2019.01.021","volume":"48","author":"Y Duan","year":"2019","unstructured":"Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of big data \u2013 evolution, challenges and research agenda. International Journal of Information Management, 48, 63\u201371.","journal-title":"International Journal of Information Management"},{"issue":"2","key":"4849_CR24","doi-asserted-by":"publisher","first-page":"1477","DOI":"10.2307\/2329929","volume":"7","author":"RO Edmister","year":"1972","unstructured":"Edmister, R. O. (1972). An empirical test of financial ratio analysis for small business failure prediction. Journal of Financial and Quantitative Analysis, 7(2), 1477\u20131493.","journal-title":"Journal of Financial and Quantitative Analysis"},{"key":"4849_CR25","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1613\/jair.1.11192","volume":"61","author":"A Fernandez","year":"2018","unstructured":"Fernandez, A., Garcia, S., Chawla, N. V., & Herrera, F. (2018). Smote for learning from imbalanced data: progress and challenges, marking the 15-year anniversary. Journal of Artificial Intelligence Research, 61, 863\u2013905.","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"5","key":"4849_CR26","doi-asserted-by":"publisher","first-page":"1812","DOI":"10.1016\/j.patcog.2014.11.010","volume":"48","author":"C Freeman","year":"2015","unstructured":"Freeman, C., Kuli\u0107, D., & Basir, O. (2015). An evaluation of classifier-specific filter measure performance for feature selection. Pattern Recognition, 48(5), 1812\u20131826.","journal-title":"Pattern Recognition"},{"key":"4849_CR27","doi-asserted-by":"publisher","DOI":"10.1111\/jofi.13114","author":"J Granja","year":"2022","unstructured":"Granja, J., Leuz, C., & Rajan, R. G. (2022). Going the extra mile: distant lending and credit cycles. The Journal of Finance. https:\/\/doi.org\/10.1111\/jofi.13114","journal-title":"The Journal of Finance"},{"issue":"5786","key":"4849_CR28","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the dimensionality of data with neural networks. Science, 313(5786), 504\u2013507.","journal-title":"Science"},{"issue":"6","key":"4849_CR29","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1080\/0305215X.2019.1624740","volume":"52","author":"AG Hussien","year":"2020","unstructured":"Hussien, A. G., Hassanien, A. E., Houssein, E. H., & Azar, A. H. (2020). New binary whale optimization algorithm for discrete optimization problems. Engineering Optimization, 52(6), 945\u2013959.","journal-title":"Engineering Optimization"},{"key":"4849_CR30","doi-asserted-by":"crossref","unstructured":"John, G. H., Kohavi, R., & Pfleger, K. (1994). Irrelevant features and the subset selection problem. In: The Eleventh International Conference on Machine Learning. San Fransisco: Morgan Kaufmann, pp. 121\u2013129.","DOI":"10.1016\/B978-1-55860-335-6.50023-4"},{"key":"4849_CR31","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1016\/j.psep.2018.05.009","volume":"117","author":"SS Kamble","year":"2018","unstructured":"Kamble, S. S., Angappa, G., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: a systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408\u2013425.","journal-title":"Process Safety and Environmental Protection"},{"key":"4849_CR32","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.jcde.2017.12.006","volume":"5","author":"G Kaur","year":"2018","unstructured":"Kaur, G., & Arora, S. (2018). Chaotic whale optimization algorithm. Journal of Computational Design and Engineering, 5, 275\u2013284.","journal-title":"Journal of Computational Design and Engineering"},{"issue":"5","key":"4849_CR33","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1016\/j.emj.2014.02.003","volume":"32","author":"Y Kim","year":"2014","unstructured":"Kim, Y., & Vonortas, N. S. (2014). Cooperation in the formative years: evidence from small enterprises in Europe. European Management Journal, 32(5), 795\u2013805.","journal-title":"European Management Journal"},{"issue":"1\u20132","key":"4849_CR34","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R Kohavi","year":"1997","unstructured":"Kohavi, R., & John, G. (1997). Wrappers for feature subset selection. Artificial Intelligence, 97(1\u20132), 273\u2013324.","journal-title":"Artificial Intelligence"},{"issue":"3","key":"4849_CR35","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/1057-5219(93)90015-A","volume":"2","author":"EK Laitinen","year":"1993","unstructured":"Laitinen, E. K. (1993). The use of information contained in annual reports and prediction of small business failures. International Review of Financial Analysis, 2(3), 155\u2013176.","journal-title":"International Review of Financial Analysis"},{"issue":"29","key":"4849_CR36","doi-asserted-by":"publisher","first-page":"107391","DOI":"10.1016\/j.asoc.2021.107391","volume":"107","author":"PZ Lappas","year":"2021","unstructured":"Lappas, P. Z., & Yannacopoulos, A. N. (2021). A machine learning approach combining expert knowledge with genetic algorithms in feature selection for credit risk assessment. Applied Soft Computing, 107(29), 107391.","journal-title":"Applied Soft Computing"},{"key":"4849_CR37","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-021-04114-z","author":"M Mahbobi","year":"2021","unstructured":"Mahbobi, M., Kimiagari, S., & Vasudevan, M. (2021). Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks. Annals of Operations Research. https:\/\/doi.org\/10.1007\/s10479-021-04114-z","journal-title":"Annals of Operations Research"},{"issue":"13","key":"4849_CR38","doi-asserted-by":"publisher","first-page":"2208","DOI":"10.1016\/j.ins.2009.02.014","volume":"179","author":"S Maldonado","year":"2009","unstructured":"Maldonado, S., & Weber, R. (2009). A wrapper method for feature selection using support vector machines. Information Sciences, 179(13), 2208\u20132217.","journal-title":"Information Sciences"},{"issue":"3","key":"4849_CR39","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1016\/j.ijforecast.2021.05.009","volume":"38","author":"V Medina-Olivares","year":"2022","unstructured":"Medina-Olivares, V., Calabrese, R., Dong, Y. Z., & Shi, B. F. (2022). Spatial dependence in microfinance credit default. International Journal of Forecasting, 38(3), 1071\u20131085.","journal-title":"International Journal of Forecasting"},{"key":"4849_CR40","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s10479-020-03917-w","volume":"303","author":"E Mehmanchi","year":"2021","unstructured":"Mehmanchi, E., G\u00f3mez, A., & Prokopyev, O. A. (2021). Solving a class of feature selection problems via fractional 0\u20131 programming. Annals of Operations Research, 303, 265\u2013295.","journal-title":"Annals of Operations Research"},{"key":"4849_CR41","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S., & Lewis, A. (2016). The whale optimization algorithm. Advances in Engineering Software, 95, 51\u201367.","journal-title":"Advances in Engineering Software"},{"key":"4849_CR42","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.knosys.2018.01.002","volume":"145","author":"S Nakariyakul","year":"2018","unstructured":"Nakariyakul, S. (2018). High-dimensional hybrid feature selection using interaction information-guided search. Knowledge-Based Systems, 145, 59\u201366.","journal-title":"Knowledge-Based Systems"},{"issue":"9","key":"4849_CR43","doi-asserted-by":"publisher","first-page":"985","DOI":"10.1057\/s41274-016-0166-3","volume":"68","author":"MDNT Oliveira","year":"2017","unstructured":"Oliveira, M. D. N. T., Ferreira, F. A. F., P\u00e9rez-Bustamante Ilander, G. O., & Jalali, M. S. (2017). Integrating cognitive mapping and MCDA for bankruptcy prediction in small-and medium-sized enterprises. Journal of the Operational Research Society, 68(9), 985\u2013997.","journal-title":"Journal of the Operational Research Society"},{"issue":"4","key":"4849_CR44","doi-asserted-by":"publisher","first-page":"2052","DOI":"10.1016\/j.eswa.2013.09.004","volume":"41","author":"S Oreski","year":"2014","unstructured":"Oreski, S., & Oreski, G. (2014). Genetic algorithm-based heuristic for feature selection in credit risk assessment. Expert Systems with Applications, 41(4), 2052\u20132064.","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"4849_CR45","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.ijforecast.2011.07.004","volume":"28","author":"W Orth","year":"2012","unstructured":"Orth, W. (2012). The predictive accuracy of credit ratings: Measurement and statistical inference. International Journal of Forecasting, 28(1), 288\u2013296.","journal-title":"International Journal of Forecasting"},{"issue":"10","key":"4849_CR46","doi-asserted-by":"publisher","first-page":"2184","DOI":"10.1109\/TCYB.2015.2469722","volume":"46","author":"SY Park","year":"2015","unstructured":"Park, S. Y., & Lee, J. J. (2015). Stochastic opposition-based learning using a beta distribution in differential evolution. IEEE Transactions on Cybernetics, 46(10), 2184\u20132194.","journal-title":"IEEE Transactions on Cybernetics"},{"key":"4849_CR47","unstructured":"Pereira, L., Tenera, A., Bispo, J., & Wemans, J. (2013). A Risk Diagnosing Methodology Web-Based Platform for Micro, Small and Medium Businesses: Remarks and Enhancements. In: International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management. Springer Berlin Heidelberg."},{"key":"4849_CR48","unstructured":"Fitch Ratings. (2013). Global corporate finance 2012 transition and default study."},{"issue":"5","key":"4849_CR49","first-page":"486","volume":"61","author":"M Rezac","year":"2011","unstructured":"Rezac, M., & Rezac, F. (2011). How to measure the quality of credit scoring models. Finance a Uver-Czech Journal of Economics and Finance, 61(5), 486\u2013507.","journal-title":"Finance a Uver-Czech Journal of Economics and Finance"},{"key":"4849_CR50","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/s00357-018-9261-2","volume":"35","author":"GI Sayed","year":"2018","unstructured":"Sayed, G. I., Ashraf, D., & Hassanien, A. E. (2018). A new chaotic whale optimization algorithm for features selection. Journal of Classification, 35, 300\u2013344.","journal-title":"Journal of Classification"},{"key":"4849_CR51","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.eswa.2018.07.057","volume":"115","author":"AM Sefidian","year":"2018","unstructured":"Sefidian, A. M., & Daneshpour, N. (2018). Missing value imputation using a novel grey based fuzzy c-means, mutual information based feature selection, and regression model. Expert Systems with Applications, 115, 68\u201394.","journal-title":"Expert Systems with Applications"},{"key":"4849_CR52","doi-asserted-by":"publisher","first-page":"1032643","DOI":"10.1155\/2018\/1032643","volume":"1\u201317","author":"BF Shi","year":"2018","unstructured":"Shi, B. F., Meng, B., Yang, H. F., Wang, J., & Shi, W. L. (2018). A novel approach for reducing attributes and its application to small enterprise financing ability evaluation. Complexity, 1\u201317, 1032643.","journal-title":"Complexity"},{"key":"4849_CR53","unstructured":"Standard & Poor\u2019s Ratings Services. (2011). S&P\u2019s study of China\u2019s top corporates highlights their significant financial risks. 2011. New York: Standard & Poor\u2019s."},{"issue":"3","key":"4849_CR54","doi-asserted-by":"publisher","first-page":"1158","DOI":"10.1016\/j.ijforecast.2022.01.006","volume":"38","author":"Y Sun","year":"2022","unstructured":"Sun, Y., Chai, N. N., Dong, Y. Z., & Shi, B. F. (2022). Assessing and predicting small industrial enterprise\u2019s credit ratings: a fuzzy decision making approach. International Journal of Forecasting, 38(3), 1158\u20131172.","journal-title":"International Journal of Forecasting"},{"key":"4849_CR55","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.jbi.2017.03.002","volume":"68","author":"A Tharwat","year":"2017","unstructured":"Tharwat, A., Moemen, Y. S., & Hassanien, A. E. (2017). Classification of toxicity effects of biotransformed hepatic drugs using whale optimized support vector machines. Journal of Biomedical Informatics, 68, 132\u2013149.","journal-title":"Journal of Biomedical Informatics"},{"key":"4849_CR56","first-page":"695","volume":"1","author":"HR Tizhoosh","year":"2005","unstructured":"Tizhoosh, H. R. (2005). Opposition-based learning: a new scheme for machine intelligence. Proceedings of International Conference on Computational Intelligence for Modeling Control and Automation, 1, 695\u2013701.","journal-title":"Proceedings of International Conference on Computational Intelligence for Modeling Control and Automation"},{"issue":"4","key":"4849_CR57","doi-asserted-by":"publisher","first-page":"444","DOI":"10.1016\/j.jmsy.2012.07.008","volume":"31","author":"RS Wadhwa","year":"2012","unstructured":"Wadhwa, R. S. (2012). Flexibility in manufacturing automation: a living lab case study of Norwegian metalcasting SMEs. Journal of Manufacturing Systems, 31(4), 444\u2013454.","journal-title":"Journal of Manufacturing Systems"},{"issue":"20","key":"4849_CR58","doi-asserted-by":"publisher","first-page":"4699","DOI":"10.1016\/j.ins.2011.03.016","volume":"181","author":"H Wang","year":"2011","unstructured":"Wang, H., Wu, Z. J., Rahnamayan, S., Liu, Y., & Ventresca, M. (2011). Enhancing particles warm optimization using generalized opposition-based learning. Information Sciences, 181(20), 4699\u20134714.","journal-title":"Information Sciences"},{"issue":"1","key":"4849_CR59","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1108\/MD-06-2017-0553","volume":"57","author":"S Yu","year":"2018","unstructured":"Yu, S., Chi, G., & Jiang, X. (2018). Credit rating system for small businesses using the k-s test to select an indicator system. Management Decision, 57(1), 229\u2013247.","journal-title":"Management Decision"},{"key":"4849_CR60","doi-asserted-by":"publisher","first-page":"115032","DOI":"10.1016\/j.eswa.2021.115032","volume":"179","author":"XM Zhang","year":"2021","unstructured":"Zhang, X. M., & Wen, S. C. (2021). Hybrid whale optimization algorithm with gathering strategies for high-dimensional problems. Expert Systems with Applications, 179, 115032.","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"4849_CR61","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1080\/01605682.2021.1880295","volume":"73","author":"ZP Zhang","year":"2022","unstructured":"Zhang, Z. P., Chi, G. T., Colombage, S., & Zhou, Y. (2022). Credit scoring model based on a novel group feature selection method: the case of Chinese small-sized manufacturing enterprises. Journal of the Operational Research Society, 73(1), 122\u2013138.","journal-title":"Journal of the Operational Research Society"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04849-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-022-04849-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-022-04849-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T21:23:28Z","timestamp":1757107408000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-022-04849-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,25]]},"references-count":61,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["4849"],"URL":"https:\/\/doi.org\/10.1007\/s10479-022-04849-3","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"value":"0254-5330","type":"print"},{"value":"1572-9338","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,25]]},"assertion":[{"value":"20 June 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 July 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}