Data mining is the exploration and analysis of large data sets, in order to discover meaningful patterns and rules. Fuzzy Logic can be integrated with Data Mining techniques to incorporate human type reasoning in pattern discovery. In this paper we are using Fuzzy Data Mining techniques in a database created from a survey pertaining to Financial Inclusion. The popular Data Mining techniques like clustering and association rule mining are used in a fuzzy framework at various stages of the analysis. Starting from the survey database this paper proceeds through all the steps of Data Mining like pre-processing, attribute selection, segmenting quantitative values, clustering and finally reaching at natural fuzzy association rules. Financial Inclusion is one of the key areas where economists and governments try to concentrate for the eradication of poverty. With this analysis we clearly reach at a conclusion that Education and introduction to Information Technology plays the most significant role in Financial Inclusion

Financial inclusion, Fuzzy Data Mining, Fuzzy Logic, Fuzzy Clustering

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