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As information technology is developing in a faster pace, there is a steep increase in social networking where the user can share their knowledge, views, criticism through various ways such as blogging, facebook, microblogging, news, forums, etc. Among these various ways, blogs play a different role as it is a personal site for each user, and blogger writes lengthy posts on various topics. Several research works are carried out, to classify blogs based on machine learning techniques. In this paper, we describe a method for classifying blog posts automatically using fuzzy similarity. We perform, experiments using TREC dataset and applied our approach to six different fuzzy similarity measures. Experimental results proved that Einstein fuzzy similarity measures performs better than the other measures.