Abstract
World Health Organization announced Coronavirus as a global
epidemic virus, and the search for approximating uncertain concepts and
measuring 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 confidence
and strength of an association to determine the most important attribute.
Our approach is based on removing redundant attributes to produce the
successfully reduced set and formulate the core set of attributes. Additionally, we give new insight into the attribute reduction application and
in order to get the result, we use MATLAB programming. We want you
to know that this research paper lasted more than two months, in order to
confirm the results reached.
M. A. El Safty, Samirah AlZahrani. (2021) Topological Modeling for Symptom Reduction of Corona virus, Punjab University Journal of Mathematics, Volume-53, Issue-3.
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