Reduction based on similarity and decision-making
El Atik, A. (2020). Reduction based on similarity and decision-making. EKB Journal Management System, 28(1), 1-12. doi: 10.1186/s42787-020-00078-4
Abd El Fattah A. El Atik. "Reduction based on similarity and decision-making". EKB Journal Management System, 28, 1, 2020, 1-12. doi: 10.1186/s42787-020-00078-4
El Atik, A. (2020). 'Reduction based on similarity and decision-making', EKB Journal Management System, 28(1), pp. 1-12. doi: 10.1186/s42787-020-00078-4
El Atik, A. Reduction based on similarity and decision-making. EKB Journal Management System, 2020; 28(1): 1-12. doi: 10.1186/s42787-020-00078-4

Reduction based on similarity and decision-making

Journal of the Egyptian Mathematical Society
Volume 28, Issue 1, June 2020, Page 1-12  XML PDF (669.44 K)
DOI: 10.1186/s42787-020-00078-4
View on SCiNiTO View on SCiNiTO
Author
Abd El Fattah A. El Atik
Department of Mathematics, Faculty of Science, Tanta University, Tanta, 31527 Egypt
Abstract
Reduction of attributes in an information system (IS) is a basic step for IS analysis. The
original rough set model of Pawlak depends on an equivalence relation which is
strongly constraints. This paper aims to use similarity classes and similarity degrees to
obtain a reduction of IS and indicate an approach by using an example from
biochemistry to get a quantitative structure activity relationship (QSAR). Moreover,
signs of each attribute and degrees of memberships are computed to give a decision
by using the degree of similarity. The suggested approach gives an increase in
decision-making and decision accuracy.

Keywords
Protein energy; Rough set; Membership function; QSAR; Similarity; Decision-making 
Statistics
Article View: 52
PDF Download: 18