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https://www.sciencedirect.com/science/article/pii/S156849461000253X
In this Paper, we use a novel Soft Computing tool viz., Fuzzy Support Vector Machine (FSVM) to solve bankruptcy prediction problem. Support Vector Machine is a powerful statistical classification technique based on the idea of Structural Risk Minimization. Fuzzy Sets are capable of handling uncertainty and impreciseness in corporate data.Cited by: 146
https://www.sciencedirect.com/science/article/abs/pii/S156849461000253X
In this Paper, we use a novel Soft Computing tool viz., Fuzzy Support Vector Machine (FSVM) to solve bankruptcy prediction problem. Support Vector Machine is a powerful statistical classification technique based on the idea of Structural Risk Minimization. Fuzzy Sets are capable of handling uncertainty and impreciseness in corporate data. Thus ...Cited by: 146
https://www.researchgate.net/publication/220199998_Fuzzy_Support_Vector_Machine_for_bankruptcy_prediction
In this Paper, we use a novel Soft Computing tool viz., Fuzzy Support Vector Machine (FSVM) to solve bankruptcy prediction problem. Support Vector Machine is a powerful statistical classification ...
https://www.researchgate.net/publication/281965431_Bankruptcy_Prediction_of_Financially_Distressed_Companies_using_Independent_Component_Analysis_and_Fuzzy_Support_Vector_Machines
Bankruptcy Prediction of Financially Distressed Companies using Independent Component Analysis and Fuzzy Support Vector Machines. ... Bankruptcy prediction is widel y studied for more than 4.
https://www.researchgate.net/publication/312185562_P2P_Lending_Platforms_Bankruptcy_Prediction_Using_Fuzzy_SVM_with_Region_Information
In this Paper, we use a novel Soft Computing tool viz., Fuzzy Support Vector Machine (FSVM) to solve bankruptcy prediction problem. Support Vector Machine is a powerful statistical classification ...
https://www.researchgate.net/publication/270521255_CBR-Based_Fuzzy_Support_Vector_Machine_for_Financial_Distress_Prediction
CBR-Based Fuzzy Support Vector Machine for Financial Distress Prediction Article in Journal of Testing and Evaluation 41(5):20120282 · September 2013 with 26 Reads How we measure 'reads'
https://www.researchgate.net/publication/223540827_Functional-link_net_with_fuzzy_integral_for_bankruptcy_prediction
Functional-link net with fuzzy integral for bankruptcy prediction. ... Chaudhuri, A, De, K., Fuzzy Support Vector Machine for Bankruptcy Prediction, Applied Soft Computing, Volume 11, …
https://link.springer.com/article/10.1007%2Fs10614-016-9562-7
Jan 21, 2016 · The resultant bankruptcy prediction model is compared with other five competitive methods including support vector machines, extreme learning machine, random forest, particle swarm optimization enhanced fuzzy k-nearest neighbor and Logit model on the real life dataset via 10-fold cross validation analysis. The obtained results clearly confirm ...Cited by: 26
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166693
In the literature for bankruptcy prediction other modern classification techniques have been used, which are also capable of offering highly precise predictions. Such is the case with rough sets [32–35]; genetic algorithms [33–38]; and support vector machines [39–42]. Nevertheless, if we consider the prediction intervals, we can see that ...Cited by: 8
https://www.sciencedirect.com/science/article/pii/S2405844019366563
That is to say, in the field of intelligent techniques applied to bankruptcy prediction, support vector machine, neural network and case-based reasoning are explored more than other methods. The rest of the methods, such as fuzzy, rough set, data mining, Adaboost, K-nearest neighbors, and Bayesian network may be under-explored and expected to ...Author: Yin Shi, Xiaoni Li
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