Axiomatic foundation of the analytic hierarchy process
Management Science
Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Introduction to Grey system theory
The Journal of Grey System
Min-transitivity of fuzzy leftness relationship and its application to decision making
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Short communication: Data mining method for listed companies' financial distress prediction
Knowledge-Based Systems
Expert Systems with Applications: An International Journal
Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters
Expert Systems with Applications: An International Journal
Financial distress prediction based on similarity weighted voting CBR
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
An application of support vector machine to companies' financial distress prediction
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
A linguistic modeling of consensus in group decision making basedon OWA operators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A grey-based decision-making approach to the supplier selection problem
Mathematical and Computer Modelling: An International Journal
Mathematical and Computer Modelling: An International Journal
Combining grey relation and TOPSIS concepts for selecting an expatriate host country
Mathematical and Computer Modelling: An International Journal
Ranking-order case-based reasoning for financial distress prediction
Knowledge-Based Systems
Gaussian case-based reasoning for business failure prediction with empirical data in China
Information Sciences: an International Journal
Financial distress prediction based on serial combination of multiple classifiers
Expert Systems with Applications: An International Journal
Business failure prediction using hybrid2 case-based reasoning (H2CBR)
Computers and Operations Research
Dynamic financial distress prediction using instance selection for the disposal of concept drift
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Determining of stock investments with grey relational analysis
Expert Systems with Applications: An International Journal
Principal component case-based reasoning ensemble for business failure prediction
Information and Management
Engineering Applications of Artificial Intelligence
A multi-agent system for web-based risk management in small and medium business
Expert Systems with Applications: An International Journal
Bankruptcy prediction models based on multinorm analysis: An alternative to accounting ratios
Knowledge-Based Systems
Probabilistic Approaches For Credit Screening And Bankruptcy Prediction
International Journal of Intelligent Systems in Accounting and Finance Management
Expert Systems with Applications: An International Journal
Application of hybrid case-based reasoning for enhanced performance in bankruptcy prediction
Information Sciences: an International Journal
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Financial distress early warning is important for business bankruptcy prevention, and various quantitative prediction methods based on financial ratios have been proposed. However, little attention has been paid to the important role of experts' experiential knowledge and non-financial information. From this point of view, the article puts forward a group decision-making approach based on experts' knowledge and all kinds of financial or non-financial information to diagnose business financial distress. Based on the risk factors of enterprise financial distress, a qualitative attribute set and its scoring criteria are designed. A method integrating linguistic label and interval value is adopted for decision makers to express their preference on attributes, and a multi-expert negotiation mechanism is designed for weighting attributes. Diagnosis on business financial distress is made through the grey evaluation method, which also tries to find out the potential risks that may cause financial distress. Case study of a real world company is carried out to validate the proposed financial distress early warning method based on group decision making.