Medical applications via minimal topological structure

Article type: Research Article

Authors: Azzam, A. A.^{a; b; *} | Khalil, Ahmed Mostafa^{c; d} | Li, Sheng-Gang^c

Affiliations: [a] Department of Mathematics, Faculty of Science and Humanities, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia | [b] Department of Mathematics, Faculty of Science, New Valley University, Elkharga, Egypt | [c] College of Mathematics and Information Science, Shaanxi Normal University, Xi’an, P.R. China | [d] Department of Mathematics, Faculty of Science, Al-Azhar University, Assiut 71524, Egypt

Correspondence: [*] Corresponding author. Abdelfatah Azzam. Tel.: +966556345254; E-mail: [email protected].

Abstract: It is known that mathematical statics, mathematical modeling, and differential equations are used to give an in-depth understanding of many medical problems. On the edge of the information revolution, minimal structures show some qualitative properties issues that are difficult to deal with it, such as quality of education, nutrition, etc. The aim of this paper is to discuss two medical applications and show that a minimal structure space is suitable for analyzing several real-life problems. Then, the accuracy of the decision-making and attributes reduction of the medical information system are explained and obtained. Furthermore, we introduce a comparison between our approach and Pawlak’s approach to find accuracy for decision-making. Finally, the accuracy of decision-making via a variable precision model is improved.

Keywords: Minimal structure, upper approximation, lower approximation, reduction of attributes, accuracy

DOI: 10.3233/JIFS-200651

Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 3, pp. 4723-4730, 2020