This paper studies the addition of linear constraints to Support Vector Regression when kernel is linear. Adding those into problem allows add prior knowledge on estimator obtained, such as finding positive vector, probability vector or monotone data. We prove that related optimization stays a semi-definite quadratic problem. also propose generalization Sequential Minimal Optimization algorithm...

In this paper, a new method for estimating the linear regression coefficients approximation is presented based on Z-numbers. In this model, observations are real numbers, regression coefficients and dependent variables (y) have values ​​for Z-numbers. To estimate the coefficients of this model, we first convert the linear regression model based on Z-numbers into two fuzzy linear regression mode...

the aim of the present survey was to investigate and compare job burnout between professors of physical education and other fields of study. this survey used a discursive comparative approach. the statistical population consisted of professors from human sciences faculties in universities of tehran, shahid beheshti and allameh tabataba’i. 65 professors were selected as the sample using stratifi...