Parametric Modeling of Learning Management System Using Fuzzy Logic and Intelligent Decision Vectors

The academic performance of any institution is governed by various parameters; these parameters can be broadly classified into two categories of inside the class and the ones outside the class. These factors control and administer the academic performance of the institute. In the present work a structured mathematical model is developed for individualistic and interdependent effects of these factors. Two prime functions, each for in-class and out-class activities are formulated then a control function for weaving the parameters within the function is crafted. A regulating function to encompass the dependencies of two prime functions is framed. A decision vector to engross both the prime and control function is originated to suggest the modifications on the present practices for enhancement of academia and overall performance of the institute.