With an exponentially increasing amount of astronomical data, the complexity and dimension of astronomical data are likewise growing rapidly. Extracting information from such data becomes a critical and challenging problem. For example, some algorithms can only be employed in the low-dimensional spaces, so feature selection and feature extraction become important topics. Here we describe the di...

Developing low-carbon tourism can not only improve the ecological environment, but also promote development of economy in China. To select a desirable destination, we need to consider multiple conflicting and incommensurate criteria, simultaneously. However, traditional decision-making methods such as analytical hierarchy process Delphi fail model complex cognition decision makers. In this rega...

Bio-Medical data analysis has an important role in clinical practices. Usually, bio-medical have complex issues like skeweedness, redundant and irrelevant attributes etc.. Several unrelated features frequently degrade the accuracy of classifier while using with imbalanced datasets. The selection becomes critical this situation. key goal feature is to establish a subspace that maintains even as ...