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Abstract
The progress of bioinformatics generates a large volume of data that needs to be analyzed in order to identify various structures. Proteins, involved in several important tasks in aliving organism. arc a mixture of amino acids which have different structures and patterns. The number of primary structures solved and stored in databases is growing faster than our capability to solve these tertiary structures using different experimental methods and so is the error occurring in them is more. To have efficient and effective protein prediction we need to have accurate results that can be obtained by minimizing the errors in the proteins. The analysis of bioinformatics data has seen major shifts from traditional data mining approach to hybrid approaches. Fuzzy inference system is proposed with and relief algorithm for decreasing error rate in theprediction of proteomic data.