Variable precision rough set model
Journal of Computer and System Sciences
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Rough-Fuzzy Hybridization: A New Trend in Decision Making
Deciding the financial health of dot-coms using rough sets
Information and Management
Comparison studies on classification for remote sensing image based on data mining method
WSEAS Transactions on Computers
Contaminants analysis in aircraft engine oil and its interpretation for the overhaul of the engine
WSEAS Transactions on Information Science and Applications
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A lot of methods have been used in the past for the prediction of failure business like Discriminant analysis, Logit analysis, Quadratic Function etc. Although some of these methods lead to models with a satisfactory ability to discriminate between healthy and bankrupt, they endure some limitations, often due to the unrealistic assumption of statistical hypotheses. This is why we have undertaken a hybrid advisable system aiming at weakening these limitations. A hybrid model that predicts the failure firms based on the past financial performance data, combining grey prediction and rough set approach is possible to predict using few data and quickly calculate. The results are very encouraging, compared with original rough set, and prove the usefulness and highlight the effectiveness of the proposed method for firm failure prediction.