identify the causal effect of remediation we use a Fuzzy Regression Discontinuity Design, relying on the fact that students …

In the article we propose a method of outliers identification in fuzzy regression. The outliers which occur in the … observation. Next, the significance of fuzzy regression coefficient is analysed considering the additional explanatory variable …

In this study we suggest a Bayesian approach to fuzzy clustering analysis – the Bayesian fuzzy regression. Bayesian … Posterior Odds analysis is employed to select the correct number of clusters for the fuzzy regression analysis. In this study …

should be the highest. The main findings and results are mixed and based on the fuzzy regression we conclude that there isn … behaviour, which are main characteristics in financial industry. Furthermore fuzzy regression avoids the classification of dummy …

that the fuzzy regression outperforms the Logit and Probit models, especially in the out-of sample period. This indicates …