Intelligent decision support system for financial crisis prediction

An intelligent system which can perform financial crisis prediction efficiently is particular useful in changing business environment. In this paper, a hybrid model of combining case-based reasoning (CBR) and analytical hierarchy process (AHP) is proposed as financial prediction model. This model provides a new framework for knowledge-guided case retrieval and indexing techniques using AHP. Moreover, an intelligent financial distress prediction system based on the CBR-AHP model is designed. The proposed system can predict financial distress by considering quantitative and qualitative factor, thus provide a new perspective for financial distress prediction.