Bankruptcy is a legal procedure that claims a person or organization as a debtor. It is essential to ascertain the risk of bankruptcy at initial stages to prevent financial losses. In this perspective, different soft computing techniques can be employed to ascertain bankruptcy. This study proposes a bankruptcy prediction system to categorize the companies based on extent of risk. The prediction system acts as a decision support tool for detection of bankruptcy Keywords: Bankruptcy, soft computing, decision support tool
@article{arxiv.1502.03601,
title = {A Predictive System for detection of Bankruptcy using Machine Learning techniques},
author = {Kalyan Nagaraj and Amulyashree Sridhar},
journal= {arXiv preprint arXiv:1502.03601},
year = {2015}
}