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An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring
16 references·16 citing·38 second hopsampled
An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)An intelligent-agent-based fuzzy group de…What's In A Name? Malay Seals As Onomastic Sources (2018)What's In A Name? Malay Seals…Credit Scoring and Its Applications (2017)Credit Scoring and Its Applic…A new fuzzy support vector machine to evaluate credit risk (2005)A new fuzzy support vector ma…Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment (2004)Uncertain linguistic aggregat…Evaluating consumer loans using neural networks (2003)Evaluating consumer loans usi…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…A method based on linguistic aggregation operators for group decision making with linguistic preference relations*1 (2003)A method based on linguistic …Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Credit Scoring and Its Applications (2002)Credit Scoring and Its Applic…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Combining numerical and linguistic information in group decision making (1998)Combining numerical and lingu…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…A Foundation for the Study of Group Decision Support Systems (1987)A Foundation for the Study of…A review of some methods for ranking fuzzy subsets (1985)A review of some methods for …A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Business research methods (1978)Business research methodsConsumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Consumer credit risk assessme…The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation (2020)The application of PROMETHEE …A bibliometric analysis of aggregation operators (2019)A bibliometric analysis of ag…Multicriteria Decision Aid/Analysis in Finance (2016)Multicriteria Decision Aid/An…Multiple criteria decision aiding for finance: An updated bibliographic survey (2015)Multiple criteria decision ai…Borrower Misreporting and Loan Performance (2015)Borrower Misreporting and Loa…Multi-attribute group decision making using combined ranking value under interval type-2 fuzzy environment (2014)Multi-attribute group decisio…An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)An insight into the experimen…Distance-based consensus models for fuzzy and multiplicative preference relations (2013)Distance-based consensus mode…Aggregation of utility-based individual preferences for group decision-making (2013)Aggregation of utility-based …MCDM Methodologies and Applications: A Literature Review from 1999 to 2009 (2011)MCDM Methodologies and Applic…Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS (2011)Evaluation model of business …Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)Credit risk evaluation using …A tool to evaluate the business intelligence of enterprise systems (2011)A tool to evaluate the busine…A Monte-Carlo game theoretic approach for Multi-Criteria Decision Making under uncertainty (2011)A Monte-Carlo game theoretic …Developing a group decision support system based on fuzzy information axiom (2009)Developing a group decision s…Better Decisions through Science (2000)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Do We Know Who Will Drop Out?: A Review of the Predictors of Dropping out of High School: Precision, Sensitivity, and Specificity (2013)A comparative study on base classifiers in ensemble methods for credit scoring (2016)The Analytic Hierarchy Process (1985)On ordered weighted averaging aggregation operators in multicriteria decisionmaking (1988)A 2-tuple fuzzy linguistic representation model for computing with words (2000)An overview of methods for determining OWA weights (2005)Intuitionistic preference relations and their application in group decision making☆ (2007)Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014 (2015)Cardinal Welfare, Individualistic Ethics, and Interpersonal Comparisons of Utility (1955)Consistency and consensus measures for linguistic preference relations based on distribution assessments (2012)Distance and similarity measures for hesitant fuzzy linguistic term sets and their application in multi-criteria decision making (2014)The Pricing of Options and Corporate Liabilities (1973)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Credit scoring with a data mining approach based on support vector machines (2006)A comparative assessment of ensemble learning for credit scoring (2010)A Discriminant Analysis of Predictors of Business Failure (1972)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Consumer credit-risk models via machine-learning algorithms (2010)Neural network credit scoring models (2000)Credit risk assessment with a multistage neural network ensemble learning approach (2007)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)Applied Linear Statistical Models. (1975)Econometric Models and Economic Forecasts (1990)Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)Recent developments in consumer credit risk assessment (2007)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Reasonable properties for the ordering of fuzzy quantities (II) (2001)Ranking fuzzy numbers with an area between the centroid point and original point (2002)Deriving priorities from fuzzy pairwise comparison judgements (2003)Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory (1994)The interdisciplinary study of coordination (1994)Design and natural science research on information technology (1995)
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References

  • 1987A Foundation for the Study of Group Decision Support Systems2,010 cited
  • 2018What's In A Name? Malay Seals As Onomastic Sources1,483 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2003A method based on linguistic aggregation operators for group decision making with linguistic preference relations*1966 cited
  • 1985A review of some methods for ranking fuzzy subsets939 cited
  • 2004Uncertain linguistic aggregation operators based approach to multiple attribute group decision making under uncertain linguistic environment778 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 2002Credit Scoring and Its Applications669 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2005A new fuzzy support vector machine to evaluate credit risk383 cited
  • 1998Combining numerical and linguistic information in group decision making361 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 1978Business research methods320 cited
  • 2017Credit Scoring and Its Applications306 cited
  • 1996

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk
286 cited
  • 2003Evaluating consumer loans using neural networks280 cited
  • Cited by

    • 2011A Monte-Carlo game theoretic approach for Multi-Criteria Decision Making under uncertainty197 cited
    • 2011Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS175 cited
    • 2015Multiple criteria decision aiding for finance: An updated bibliographic survey160 cited
    • 2014Multi-attribute group decision making using combined ranking value under interval type-2 fuzzy environment128 cited
    • 2013Distance-based consensus models for fuzzy and multiplicative preference relations120 cited
    • 2015Borrower Misreporting and Loan Performance120 cited
    • 2009Developing a group decision support system based on fuzzy information axiom106 cited
    • 2013Aggregation of utility-based individual preferences for group decision-making102 cited
    • 2011Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection98 cited
    • 2011A tool to evaluate the business intelligence of enterprise systems97 cited
    • 2019A bibliometric analysis of aggregation operators86 cited
    • 2020The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation82 cited
    • 2011MCDM Methodologies and Applications: A Literature Review from 1999 to 200980 cited
    • 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems75 cited
    • 2016Multicriteria Decision Aid/Analysis in Finance75 cited
    • 2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited