Feature selection and instance are two data preprocessing methods widely used in mining pattern recognition. The main goal is to reduce the computational cost of many learning tasks. Recently, joint feature has been approached by solving some global optimization problems using meta-heuristics. This approach not only computationally expensive, but also does exploit fact that usually have a struc...

one of important problems in supply chains management is supplier selection. in a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...

In the present study, we consider the selection of model selection criteria for multivariate ridge regression. There are several model selection criteria for selecting the ridge parameter in multivariate ridge regression, e.g., the Cp criterion and the modified Cp (MCp) criterion. We propose the generalized Cp (GCp) criterion, which includes Cp andMCp criteria as special cases. The GCp criterio...