Pattern discovery from few data

Giving a limited data set, how to derive its properties is what we are interested in this study. Although because of the increasing power of computers and Internet, collecting a huge number of data such that a database becomes a data warehouse is a common phenomenon, especially in industries, it cannot be denied that there were drastic disasters such as terrorist attacks, nuclear plants explosion which happened statistically few, yet resulted in incredible lost in many ways. How to analyze such data so that their patterns can be revealed and predicted is what we concerned. Based on possibility theory we have obtained some results that are reported in this paper with the discussion of its possible extension and applications.