Handling Uncertainty in Social Lending Credit Risk Prediction with a Choquet Fuzzy Integral Model

Namvar, Anahita; Naderpour, Mohsen

doi:10.48550/arxiv.1804.10796

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Choquet Fuzzy Integral Vertical Bagging Classifier1

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2019

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“…In addition to the input parameters for the vertical bagging classifier, we defined the exponential weights for w 1 and w 2 in Eq. 7 as W 1 =0.9 , W 2 =0.6 [24]. The value of ε in Eq.…”

Section: Resultsmentioning

confidence: 99%

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A Choquet Fuzzy Integral Vertical Bagging Classifier for Mobile Telematics Data Analysis

Siami

Naderpour

2019

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Mobile app development in recent years has resulted in new products and features to improve human life. Mobile telematics is one such development that encompasses multidisciplinary fields for transportation safety. The application of mobile telematics has been explored in many areas, such as insurance and road safety. However, to the best of our knowledge, its application in gender detection has not been explored. This paper proposes a Choquet fuzzy integral vertical bagging classifier that detects gender through mobile telematics. In this model, different random forest classifiers are trained by randomly generated features with rough set theory, and the top three classifiers are fused using the Choquet fuzzy integral. The model is implemented and evaluated on a real dataset. The empirical results indicate that the Choquet fuzzy integral vertical bagging classifier outperforms other classifiers.

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“…In addition to the input parameters for the vertical bagging classifier, we defined the exponential weights for w 1 and w 2 in Eq. 7 as W 1 =0.9 , W 2 =0.6 [24]. The value of ε in Eq.…”

Section: Resultsmentioning

confidence: 99%

“…All RF models were sorted according to their performance in training dataset, and the top three models were selected. In the next step, the top random forest classifiers were merged by using Choquet fuzzy integral, which achieves outstanding performance in merging different classifiers [24].…”

Section: Choquet Fuzzy Integral Vertical Bagging Classifiermentioning

confidence: 99%