Softζ-Rough Set and Its Applications in Decision Making of Coronavirus

作     者：M.A.El Safty Samirah Al Zahrani M.K.El-Bably M.El Sayed 

作者机构：Department of Mathematics and StatisticsCollege of ScienceTaif UniversityTaif21944Saudi Arabia Department of MathematicsFaculty of ScienceTanta UniversityTantaEgypt Department of MathematicsCollege of Science and ArtsNajran UniversityNajran66445Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第70卷第1期

页      面：267-285页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

基　　金：This research received funding from Taif University Researchers Supporting and Project Number(TURSP-2020/207) Taif University Taif Saudi Arabia. 

主　　题：Soft set soft rough set softζrough set COVID-19 intelligence discovery decision making 

摘      要：In this paper,we present a proposed method for generating a soft rough approximation as a modification and generalization of Zhaowen et al.approach.Comparisons were obtained between our approach and the previous study and also.Eventually,an application on Coronavirus(COVID-19)has been presented,illustrated using our proposed concept,and some influencing 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 consistent with those of theWorld 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.