Enhancing Decision in Information System Through Weighted Preliminary Pretopology Analysis

Authors

Mustafa Elsayed, Higher Institute of Engineering and Technology-Kafr El SheikhFollow
rifet agassiFollow

Abstract

It is clear from adequate study of the past decades that there has been rapid growth in the information system, which relies mainly on programming systems. This has led to the necessity of dealing with high efficiency with the information system necessary for decision support. Information systems are a mixture of software and hardware to store and process all the data required and are presented in a useful form to extract information by applying topological concepts. In this paper a pretopological space from an information system is to be constructed. The computation of decision accuracy stands as a pivotal stage in the decision-making processes overlooking the incorporation of topological concepts. This study seeks to rectify this gap by leveraging pretopological structures derived from weighted similarity classes to ascertain the accuracy of decision sets. Through the presentation of an illustrative example, we demonstrate the efficacy of this approach types of accuracy. And conduct a comparative analysis between weighted accuracy and alternative accuracy measures.

Recommended Citation

Elsayed, Mustafa and agassi, rifet (2024) "Enhancing Decision in Information System Through Weighted Preliminary Pretopology Analysis," Journal of Engineering Research: Vol. 8: Iss. 3, Article 2.
Available at: https://digitalcommons.aaru.edu.jo/erjeng/vol8/iss3/2