Information Classification, Visualization and Decision-Making: A Neutrosophic Set Theory Based Approach

In real life, information is incomplete and uncertain. It is very tedious and erroneous to take the precise levels of decision, from such kind of information. To deal with such kind of information, this study proposes a new information classification approach based on the neutrosophic set (NS). This approach of classification is termed, as a neutrosophic set based four way decision space (NSB4WDS). For the better visualization of classified decision rules, this study introduces a new graphical approach for the representation of decision rules.