Abstract
Grading is a competitive philosophy adopted by many institutions to attract the academic aspirants. Contemporary grading tools are designed to evaluate the institutions status of their performance and success. Generally, the required data is available in multidimensional form for getting the present status of the institutions. However, more multivariate data analysis methods are available for solving these systems, but most of these methods provide analysis based on some statistical assumptions. In this work, the complementary methodology is proposed for the analysis, which will provide a quantitative measure of the BSchools performances. The proposed Mahalanobis Taguchi System (MTS) based methodology is a pattern information technology developed by Dr.Taguchi. This method is aimed at providing better prediction ability for multidimensional data through the construction of a multivariate measurement scale. Subsequently, the useful variables under this study are identified using the Orthogonal Arrays and Signal-Noise ratio. This study the Indian B-School data with four variables and four classes are use for this analysis.
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