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Business failure prediction using rough sets
A. I. Dimitras
, R. Slowinski
, R. Susmaga
, C. Zopounidis
Poznań University of Technology
Technical University of Crete
Research output
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peer-review
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Keyphrases
Log Analysis
100%
Decision Maker
100%
Discriminant Analysis
100%
Business Failure
100%
Financial Characteristics
100%
Rough Set Approach
100%
Business Failure Prediction
100%
Method Analysis
50%
Greek Firms
50%
Recursive Partitioning Algorithm
50%
Communication Language
50%
Relevant Subset
50%
Natural Language
50%
Bankrupt Firms
50%
Failing Firm
50%
Statistical Hypothesis
50%
Prediction Skill
50%
Failure Risk
50%
Unrealistic Assumptions
50%
Mathematics
Decision Maker
100%
Recursive Partitioning
50%
Discriminant Analysis
50%
Statistical Hypothesis
50%
Communicates
50%
Input Data
50%
Engineering
Limitations
100%
Decision Maker
100%
Recursive
50%
Input Data
50%
Computer Science
Rough Set
100%
Decision Maker
66%
Discriminant Analysis
33%
Economics, Econometrics and Finance
Discriminant Analysis
100%