Affiliations: [a]
Port Said University, Faculty of Engineering, Physics and Engineering Mathematics Department, Egypt
| [b] Kafrelsheikh University, Faculty of Science, Department of Mathematics, Kafrelsheikh, Egypt
Correspondence:
[*]
Corresponding author. Asmaa M. Nasr, Port Said University, Faculty of Engineering, Physics and Engineering Mathematics Department, Egypt. E-mail: [email protected].
Abstract: In several empirical situations, a decision is needed to be made based on data that is captured in some information system. The problem occurs when the information system holds complex data or even too much data attributes. This leads to the need for reducing the number of attributes required to obtain a decision. In this paper, a novel attributes’ reduction method is presented; the proposed method is based on constructing a weighted pre-topology that represents the information system under consideration. In addition, some essential operations for the weighted pre-topological space are presented; as well as, a brief study of their properties.
Keywords: Fuzzy pretopological space, closure set, interior set, information system
