{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T02:09:02Z","timestamp":1783130942609,"version":"3.54.6"},"reference-count":50,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDA"],"published-print":{"date-parts":[[2017,6,29]]},"DOI":"10.3233\/ida-160034","type":"journal-article","created":{"date-parts":[[2017,6,30]],"date-time":"2017-06-30T11:00:17Z","timestamp":1498820417000},"page":"617-636","source":"Crossref","is-referenced-by-count":8,"title":["Financial distress prediction using SVM ensemble based on earnings manipulation and fuzzy integral"],"prefix":"10.1177","volume":"21","author":[{"given":"Chao","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingyu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingwei","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donghui","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"key":"10.3233\/IDA-160034_ref1","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TFUZZ.2007.902024","article-title":"Minimum classification error training for choquet integrals with applications to landmine detection","volume":"16","author":"Mendez-Vazquez","year":"2008","journal-title":"Fuzzy Systems, IEEE Transactions on"},{"key":"10.3233\/IDA-160034_ref2","doi-asserted-by":"crossref","unstructured":"A. Verikas and A. Lipnickas, Fusing neural networks through space partitioning and fuzzy integration, Neural Processing Letters 16 (2002), 53\u201365.","DOI":"10.1023\/A:1019703911322"},{"key":"10.3233\/IDA-160034_ref3","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1109\/TFUZZ.2012.2187062","article-title":"Adaptive local fusion with fuzzy integrals","volume":"20","author":"Abdallah","year":"2012","journal-title":"Fuzzy Systems, IEEE Transactions on"},{"key":"10.3233\/IDA-160034_ref4","doi-asserted-by":"crossref","first-page":"127","DOI":"10.2307\/2491262","article-title":"A five-state financial distress prediction model","author":"Lau","year":"1987","journal-title":"Journal of Accounting Research"},{"key":"10.3233\/IDA-160034_ref5","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","author":"Cortes","year":"1995","journal-title":"Machine Learning"},{"key":"10.3233\/IDA-160034_ref6","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: A library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"Acm Transactions on Intelligent Systems & Technology"},{"key":"10.3233\/IDA-160034_ref7","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1109\/3477.809043","article-title":"Adaptive classifier integration for robust pattern recognition","volume":"29","author":"Chibelushi","year":"1999","journal-title":"Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on"},{"key":"10.3233\/IDA-160034_ref8","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.fss.2014.09.005","article-title":"Dynamic classifier aggregation using interaction-sensitive fuzzy measures","volume":"270","author":"\u0160tefka","year":"2015","journal-title":"Fuzzy Sets and Systems"},{"key":"10.3233\/IDA-160034_ref9","first-page":"120","article-title":"The sources of increased accuracy for two proposed boosting algorithms","volume":"1129","author":"Skalak","year":"1996","journal-title":"American Association for Artificial Intelligence, AAAI-96, Integrating Multiple Learned Models Workshop"},{"key":"10.3233\/IDA-160034_ref10","doi-asserted-by":"crossref","first-page":"1979","DOI":"10.1109\/TSMCB.2004.831460","article-title":"Handling interaction in fuzzy production rule reasoning","volume":"34","author":"Yeung","year":"2004","journal-title":"Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on"},{"key":"10.3233\/IDA-160034_ref11","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1111\/j.1540-6261.1968.tb00843.x","article-title":"Financial ratios, discriminant analysis and the prediction of corporate bankruptcy","volume":"23","author":"Altman","year":"1968","journal-title":"The Journal of Finance"},{"key":"10.3233\/IDA-160034_ref12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.econmod.2014.12.035","article-title":"Detecting biotechnology industry\u2019s earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree","volume":"46","author":"Chen","year":"2015","journal-title":"Economic Modelling"},{"key":"10.3233\/IDA-160034_ref13","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.epsr.2013.07.005","article-title":"Divisional fault diagnosis of large-scale power systems based on radial basis function neural network and fuzzy integral","volume":"105","author":"Xiong","year":"2013","journal-title":"Electric Power Systems Research"},{"key":"10.3233\/IDA-160034_ref14","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.asoc.2014.01.018","article-title":"Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine","volume":"19","author":"Li","year":"2014","journal-title":"Applied Soft Computing"},{"key":"10.3233\/IDA-160034_ref15","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1111\/j.1468-0394.2012.00642.x","article-title":"Forecasting business failure using two-stage ensemble of multivariate discriminant analysis and logistic regression","volume":"30","author":"Li","year":"2013","journal-title":"Expert Systems"},{"key":"10.3233\/IDA-160034_ref16","doi-asserted-by":"crossref","first-page":"1242","DOI":"10.1016\/j.autcon.2011.05.007","article-title":"An enforced support vector machine model for construction contractor default prediction","volume":"20","author":"Tserng","year":"2011","journal-title":"Automation in Construction"},{"key":"10.3233\/IDA-160034_ref17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2006.11.003","article-title":"Data mining method for listed companies\u2019 financial distress prediction","volume":"21","author":"Sun","year":"2008","journal-title":"Knowledge-Based Systems"},{"key":"10.3233\/IDA-160034_ref18","doi-asserted-by":"crossref","first-page":"8659","DOI":"10.1016\/j.eswa.2008.10.002","article-title":"Financial distress prediction based on serial combination of multiple classifiers","volume":"36","author":"Sun","year":"2009","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref19","doi-asserted-by":"crossref","unstructured":"J. Sun and H. Li, Financial distress prediction using support vector machines: Ensemble vs. individual, Applied Soft Computing 12 (2012), 2254\u20132265.","DOI":"10.1016\/j.asoc.2012.03.028"},{"key":"10.3233\/IDA-160034_ref20","doi-asserted-by":"crossref","first-page":"4363","DOI":"10.1016\/j.eswa.2008.10.002","article-title":"Majority voting combination of multiple case-based reasoning for financial distress prediction","volume":"36","author":"Sun","year":"2009","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref21","doi-asserted-by":"crossref","unstructured":"J. Sun and X.F. Hui, An application of support vector machine to companies\u2019 financial distress prediction, Lecture Notes in Artificial Intelligence 5 (2006), 274\u2013282","DOI":"10.1007\/11681960_27"},{"key":"10.3233\/IDA-160034_ref22","doi-asserted-by":"crossref","first-page":"818","DOI":"10.1016\/j.eswa.2007.07.045","article-title":"Listed companies\u2019 financial distress prediction based on weighted majority voting combination of multiple classifiers","volume":"35","author":"Sun","year":"2008","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref23","doi-asserted-by":"crossref","first-page":"9159","DOI":"10.1016\/j.eswa.2012.02.058","article-title":"Predicting financial distress of the South Korean manufacturing industries","volume":"39","author":"Bae","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref24","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.intacc.2014.01.001","article-title":"The real and accrual-based earnings management behaviors: Evidence from the split share structure reform in China","volume":"49","author":"Kuo","year":"2014","journal-title":"The International Journal of Accounting"},{"key":"10.3233\/IDA-160034_ref25","doi-asserted-by":"crossref","first-page":"4637","DOI":"10.1016\/j.eswa.2013.02.004","article-title":"Data weighting method on the basis of binary encoded output to solve multi-class pattern classification problems","volume":"40","author":"Polat","year":"2013","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref26","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.fss.2004.03.005","article-title":"Fuzzy integration of structure adaptive SOMs for web content mining","volume":"148","author":"Kim","year":"2004","journal-title":"Fuzzy Sets and Systems"},{"key":"10.3233\/IDA-160034_ref27","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.ins.2014.04.046","article-title":"A new approach for imbalanced data classification based on data gravitation","volume":"288","author":"Peng","year":"2014","journal-title":"Information Sciences"},{"key":"10.3233\/IDA-160034_ref28","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1016\/j.measurement.2014.04.015","article-title":"A novel approach for coal seam terrain prediction through information fusion of improved D-S evidence theory and neural network","volume":"54","author":"Si","year":"2014","journal-title":"Measurement"},{"key":"10.3233\/IDA-160034_ref29","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/j.eswa.2007.08.010","article-title":"Feature selection to diagnose a business crisis by using a real GA-based support vector machine: An empirical study","volume":"35","author":"Chen","year":"2008","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref30","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1111\/j.1540-5915.1992.tb00425.x","article-title":"Neural networks: A new tool for predicting thrift failures","volume":"23","author":"Salchenberger","year":"1992","journal-title":"Decision Sciences"},{"key":"10.3233\/IDA-160034_ref31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10288-007-0064-2","article-title":"A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid","volume":"6","author":"Grabisch","year":"2008","journal-title":"4OR"},{"key":"10.3233\/IDA-160034_ref32","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/0165-0114(94)90023-X","article-title":"Classification by fuzzy integral: Performance and tests","volume":"65","author":"Grabisch","year":"1994","journal-title":"Fuzzy Sets and Systems"},{"key":"10.3233\/IDA-160034_ref33","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/S0165-0114(97)00168-1","article-title":"K-order additive discrete fuzzy measures and their representation","volume":"92","author":"Grabisch","year":"1997","journal-title":"Fuzzy Sets and Systems"},{"key":"10.3233\/IDA-160034_ref34","unstructured":"M. Sugeno, Theory of Fuzzy Integral and Its Application, Ph. D. Dissertation, Tokyo Institute of Technology, 1974."},{"key":"10.3233\/IDA-160034_ref35","doi-asserted-by":"crossref","first-page":"3373","DOI":"10.1016\/j.eswa.2009.10.012","article-title":"Ensemble with neural networks for bankruptcy prediction","volume":"37","author":"Kim","year":"2010","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref36","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.3233\/IFS-130825","article-title":"An algebraic method and a genetic algorithm to the identification of fuzzy measures based on Choquet integrals","volume":"26","author":"Kochi","year":"2014","journal-title":"Journal of Intelligent and Fuzzy Systems"},{"key":"10.3233\/IDA-160034_ref37","doi-asserted-by":"crossref","first-page":"2859","DOI":"10.1016\/j.fss.2008.03.015","article-title":"Effective classification using feature selection and fuzzy integration","volume":"159","author":"Pizzi","year":"2008","journal-title":"Fuzzy Sets and Systems"},{"key":"10.3233\/IDA-160034_ref38","doi-asserted-by":"crossref","first-page":"365","DOI":"10.2308\/acch.1999.13.4.365","article-title":"A review of the earnings management literature and its implications for standard setting","volume":"13","author":"Healy","year":"1999","journal-title":"Accounting Horizons"},{"key":"10.3233\/IDA-160034_ref39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ejor.2006.08.043","article-title":"Bankruptcy prediction in banks and firms via statistical and intelligent techniques-A review","volume":"180","author":"Kumar","year":"2007","journal-title":"European Journal of Operational Research"},{"key":"10.3233\/IDA-160034_ref40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.iref.2013.11.001","article-title":"Predicting earnings management: A nonlinear approach","volume":"30","author":"Wu","year":"2014","journal-title":"International Review of Economics & Finance"},{"key":"10.3233\/IDA-160034_ref41","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.jacceco.2004.11.002","article-title":"Performance matched discretionary accrual measures","volume":"39","author":"Kothari","year":"2005","journal-title":"Journal of Accounting and Economics"},{"key":"10.3233\/IDA-160034_ref42","doi-asserted-by":"crossref","first-page":"3302","DOI":"10.1016\/j.eswa.2008.01.005","article-title":"Support vector machines for credit scoring and discovery of significant features","volume":"36","author":"Bellotti","year":"2009","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref43","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1016\/j.jbusres.2013.01.021","article-title":"Real earnings management and the cost of new corporate bonds","volume":"67","author":"Ge","year":"2014","journal-title":"Journal of Business Research"},{"key":"10.3233\/IDA-160034_ref44","doi-asserted-by":"crossref","first-page":"780","DOI":"10.1109\/TII.2012.2189224","article-title":"Flame image-based burning state recognition for sintering process of rotary kiln using heterogeneous features and fuzzy integral","volume":"8","author":"Li","year":"2012","journal-title":"Industrial Informatics, IEEE Transactions on"},{"key":"10.3233\/IDA-160034_ref45","first-page":"113","article-title":"Alternative accounting measures as predictors of failure","author":"Beaver","year":"1968","journal-title":"Accounting Review"},{"key":"10.3233\/IDA-160034_ref46","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.dss.2010.03.005","article-title":"Credit risk measurement and early warning of SMEs: An empirical study of listed SMEs in China","volume":"49","author":"Chen","year":"2010","journal-title":"Decision Support Systems"},{"key":"10.3233\/IDA-160034_ref47","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1111\/j.1468-0394.2010.00546.x","article-title":"Feature selection for support vector machine in financial crisis prediction: A case study in China","volume":"27","author":"Song","year":"2010","journal-title":"Expert Systems"},{"key":"10.3233\/IDA-160034_ref48","doi-asserted-by":"crossref","first-page":"1830","DOI":"10.1016\/j.eswa.2011.08.067","article-title":"Aggregating multiple classification results using Choquet integral for financial distress early warning","volume":"39","author":"Cao","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-160034_ref49","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1016\/j.fss.2007.11.006","article-title":"Lower integrals and upper integrals with respect to nonadditive set functions","volume":"159","author":"Wang","year":"2008","journal-title":"Fuzzy Sets and Systems"},{"key":"10.3233\/IDA-160034_ref50","doi-asserted-by":"crossref","first-page":"4592","DOI":"10.1016\/j.apm.2011.11.049","article-title":"A new evaluation method based on d-s generalized fuzzy soft sets and its application in medical diagnosis problem","volume":"36","author":"Xiao","year":"2012","journal-title":"Applied Mathematical Modelling"}],"container-title":["Intelligent Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDA-160034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:17:53Z","timestamp":1777454273000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDA-160034"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,29]]},"references-count":50,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/ida-160034","relation":{},"ISSN":["1088-467X","1571-4128"],"issn-type":[{"value":"1088-467X","type":"print"},{"value":"1571-4128","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,29]]}}}