Topological Modeling for Symptom Reduction of Corona virus

摘要

World Health Organization announced Coronavirus as a globalepidemic virus, and the search for approximating uncertain concepts andmeasuring the accuracy of the approximation is an important goal for researchers in many theoretical and applied fields. Therefore this paper suggested a specific mathematical approach with the support of the confidenceand strength of an association to determine the most important attribute.Our approach is based on removing redundant attributes to produce thesuccessfully reduced set and formulate the core set of attributes. Additionally, we give new insight into the attribute reduction application andin order to get the result, we use MATLAB programming. We want youto know that this research paper lasted more than two months, in order toconfirm the results reached.