Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision

Poongjin Cho,Woojin Chang,Jae Wook Song

Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision

2019

Poongjin Cho
Woojin Chang
Jae Wook Song

This work was supported by the National Research Foundation of Korea (NRF) grant through the Ministry of Science and ICT, under Grant 2018R1C1B5043835.

Keywords:

Peer-to-peer
Fuzzy logic
Support vector machine
Distributed computing
Computer science
Artificial intelligence
Investment performance
Extreme learning machine
Loan
Econometrics
Decision model
Investment decisions
Boosting (machine learning)

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