Metabolomics involves the large scale analysis of metabolites and thus, provides information regarding cellular processes in a biological sample. Independently of the analytical technique used, a vast amount of data is always acquired when carrying out metabolomics studies; this results in complex datasets with large amounts of variables. This type of data requires multivariate statistical anal...

Rough set based rule induction approaches have been studied intensively during past few years. However, classical rough set model cannot deal with incomplete data sets. There are two main categories dealing with this problem: the preprocessing methods and the extensions of rough set model. This paper focuses on the comparison of three strategies for dealing with incomplete data containing three...

Due to the depletion of the fossil fuels and major concerns about the security of energy in the future to produce fuels, the importance of utilizing the renewable energies is distinguished. Nowadays there has been a growing interest for biofuels. Thus, this paper reveals a general optimization model which enables the selection of preprocessing centers for the biomass, biofuel plants, and wareho...