In this paper, we proposed an adaptive robust variable selection procedure for the logistic regression model. The method is to outliers and considers goodness-of-fit of Furthermore, apply MM algorithm solve optimization problem. Monte Carlo studies are evaluated finite-sample performance method. results show that when there in dataset or distribution covariate deviates from normal distribution,...

Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This situation leads researchers to combine fuzzy set and statistical theories. Fuzzy logistic regression analysis is one of the outcomes of this combination and it is used in situa...

In the recent decade, special attention is paid to reverse logistic due to economic benefits of recovery and recycling of used products as well as environmental legislation and social concerns. On the other hand، many researches claim that separately and sequential planning of forward and reverse logistic causes sub-optimality. Effective transport activities are also one of the most important c...