Fuzzy Model based classification of Non-Inter compatible Data : Improvisation on Comprehending Heterogeneous Information

In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, Knowledge Discovery in Databases or Data Mining has emerged as a new researcha rea. However, the approaches studied in this area have mainly been oriented at highly structured and precise data pertaining to a single dimension mostly. In addition, the goal to obtain understandable results is often neglected. Since the aim of fuzzy technology has always been to model linguistic information and to achieve understandable solutions, we expect it to play an important role in heterogeneous information mining. The objective of the paper is to analyze heterogeneous information sources with the prominent aim of producing comprehensible results.