  Emergences of computers and information technological revolution made
tremendous changes in the real world and provides a different dimension for the
intelligent data analysis. Well formed fact, the information at right time and
at right place deploy a better knowledge.However, the challenge arises when
larger volume of inconsistent data is given for decision making and knowledge
extraction. To handle such imprecise data certain mathematical tools of greater
importance has developed by researches in recent past namely fuzzy set,
intuitionistic fuzzy set, rough Set, formal concept analysis and ordering
rules. It is also observed that many information system contains numerical
attribute values and therefore they are almost similar instead of exact
similar. To handle such type of information system, in this paper we use two
processes such as pre process and post process. In pre process we use rough set
on intuitionistic fuzzy approximation space with ordering rules for finding the
knowledge whereas in post process we use formal concept analysis to explore
better knowledge and vital factors affecting decisions.
