Business failure prediction using hybrid\(^2\) case-based reasoning (H\(^2\)CBR)
From MaRDI portal
Publication:733532
DOI10.1016/J.COR.2009.04.003zbMath1171.90381OpenAlexW2068282352MaRDI QIDQ733532
Publication date: 16 October 2009
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2009.04.003
PROMETHEE\(k\)-nearest neighbourbusiness failure predictionELECTREHybrid\(^{2}\) case-based reasoning (H\(^{2}\)CBR)ORESTEoutranking approaches
Related Items (2)
Preference disaggregation and statistical learning for multicriteria decision support: A review ⋮ A data-driven explainable case-based reasoning approach for financial risk detection
Cites Work
- Unnamed Item
- Unnamed Item
- Bankruptcy prediction in banks and firms via statistical and intelligent techniques -- a review
- A stochastic method for robustness analysis in sorting problems
- Financial distress early warning based on group decision making
- Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II
- Mining competent case bases for case-based reasoning
- Stochastic multicriteria decision making and uncertainty
- Weight stability intervals in multicriteria decision aid
- Preference relations on actions and criteria in multicriteria decision making
- Inferrring an ELECTRE TRI model from assignment examples
- The conflict analysis method: Bridging the gap between ELECTRE, PROMETHEE and ORESTE
- Valued outranking relations in ELECTRE providing manageable disaggregation procedures.
- Three perspectives of data mining
- Neural network ensemble strategies for financial decision applications
- Handling effects of reinforced preference and counter-veto in credibility of outranking
- Multicriteria methodology for decision aiding. Transl. from the French by Mark R. McCord
- Note—A Preference Ranking Organisation Method
- Problems and methods with multiple objective functions
This page was built for publication: Business failure prediction using hybrid\(^2\) case-based reasoning (H\(^2\)CBR)
