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we will chip away at decrease of undesirable informational indexes from huge informational indexes. We apply fluffy rationale, order and information mining strategies to do likewise. The size of information things is exceptionally huge, so lessening its functional time is troublesome. This examination paper attempts to kill those thing which one is not identify for searching any affiliation regulations. We likewise attempt to will consider 60% of thing isn’t significant by utilizing fluffy characterization procedure. keywords: Fuzzy Logic, Data Mining, Classification, Data sets, TRA earlier References: "[1] Mohammed Al-Maolegi ,Bassamarkok “An Improved Apriorialgorithm For Association Rules” International Journal On Natural Language Computing Volume 3 , No-1 , Febuary 2014. [2] N S Nithya And K Duraiswami “Gain Ratio Based Fuzzy Weighted Association Rule Mining Classifier For Medical Diagnostic Interface” Vol 39 Part 1 ,Febuary 2014 , Pp 39-52 . [3] K Sathesh Kumar And M Hemlatha “An Innovative Potential On Rule Optimization Using Fuzzy Artificial Bee Colony” Research Journal Of Applied Science , Engineering And Technology.. Volume 2627-2633 , Issn:2040-7459, E-Issn:2040-7467, April 05 2014. "