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Emergences of computers and information technological revolution madetremendous changes in the real world and provides a different dimension for theintelligent data analysis. Well formed fact, the information at right time andat right place deploy a better knowledge.However, the challenge arises whenlarger volume of inconsistent data is given for decision making and knowledgeextraction. To handle such imprecise data certain mathematical tools of greaterimportance has developed by researches in recent past namely fuzzy set,intuitionistic fuzzy set, rough Set, formal concept analysis and orderingrules. It is also observed that many information system contains numericalattribute values and therefore they are almost similar instead of exactsimilar. To handle such type of information system, in this paper we use twoprocesses such as pre process and post process. In pre process we use rough seton intuitionistic fuzzy approximation space with ordering rules for finding theknowledge whereas in post process we use formal concept analysis to explorebetter knowledge and vital factors affecting decisions.

A Knowledge Mining Model for Ranking Institutions using Rough Computing with Ordering Rules and Formal Concept analysis