ech T Press Science Computers, Materials & Continua DOI:10.32604/cmc.2022.019345 Article Soft ζ -Rough Set and Its Applications in Decision Making of Coronavirus M. A. El Safty 1, * , Samirah Al Zahrani 1 , M. K. El-Bably 2 and M. El Sayed 3 1 Department of Mathematics and Statistics, College of Science, Taif University, Taif, 21944, Saudi Arabia 2 Department of Mathematics, Faculty of Science, Tanta University, Tanta, Egypt 3 Department of Mathematics, College of Science and Arts, Najran University, Najran, 66445, Saudi Arabia * Corresponding Author: M. A. El Safty. Email: m.elsafty@tu.edu.sa Received: 09 April 2021; Accepted: 10 May 2021 Abstract: In this paper, we present a proposed method for generating a soft rough approximation as a modifcation and generalization of Zhaowen et al. approach. Comparisons were obtained between our approach and the previ- ous study and also. Eventually, an application on Coronavirus (COVID-19) has been presented, illustrated using our proposed concept, and some infu- encing results for symptoms of Coronavirus patients have been deduced. Moreover, following these concepts, we construct an algorithm and apply it to a decision-making problem to demonstrate the applicability of our proposed approach. Finally, a proposed approach that competes with others has been obtained, as well as realistic results for patients with Coronavirus. Moreover, we used MATLAB programming to obtain the results; these results are con- sistent with those of the World Health Organization and an accurate proposal competing with the method of Zhaowen et al. has been studied. Therefore, it is recommended that our proposed concept be used in future decision making. Keywords: Soft set; soft rough set; soft ζ rough set; COVID-19; intelligence discovery; decision making 1 Introduction In 1999 Molodtsov [1] have introduced the soft set notion and progressing basics of this theory as a new diverse for modeling roughness and uncertainties. Diverse felds of applications of his approach were used in solving many practical problems in economics, engineering, social science, medical science... etc. Researchers have implementing various kinds of soft, rough and fuzzy sets (see [1–15]). Often, the right decision making for many real-life issues is very dif fcult in our daily lives, which is highly essential for choosing the best solution to our discussions. Therefore, we have to consider various features in order to produce the highest practical solution to these problems. For this cause, we use the chosen mathematical instrument in the current article, namely soft rough set theory, in decision making. Decision making application was applied by Maji et al. [10,11]. Using soft set approach and accordingly they expand this approach to fuzzy soft set theory in [13]. Soft rough model was defned by [15]. This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.