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Ranking and Evaluating CT Departments by Fuzzy Logic

by Mohammed Shrief, Walid Al-atabany, Mohamed El-wakad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 8
Year of Publication: 2015
Authors: Mohammed Shrief, Walid Al-atabany, Mohamed El-wakad
10.5120/21718-4860

Mohammed Shrief, Walid Al-atabany, Mohamed El-wakad . Ranking and Evaluating CT Departments by Fuzzy Logic. International Journal of Computer Applications. 122, 8 ( July 2015), 8-15. DOI=10.5120/21718-4860

@article{ 10.5120/21718-4860,
author = { Mohammed Shrief, Walid Al-atabany, Mohamed El-wakad },
title = { Ranking and Evaluating CT Departments by Fuzzy Logic },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 8 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number8/21718-4860/ },
doi = { 10.5120/21718-4860 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:10:00.534019+05:30
%A Mohammed Shrief
%A Walid Al-atabany
%A Mohamed El-wakad
%T Ranking and Evaluating CT Departments by Fuzzy Logic
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 8
%P 8-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Rankings approaches are a public way of providing information in different fields. In health care domain, the direct impact of the ranking systems is that these hospitals will explore all the paths to improve their rank that reflect on attracting more patients. Current methodologies mainly include subjective indicators in their ranking systems. The purpose of this paper is to develop a new quantitative ranking model based on multi-criteria decision making using fuzzy logic to rank the computed tomography (CT) departments in hospitals. The system is based on factors extracted from both the hospitals and the CT scan devices. The output of the system from 30 different hospitals has been compared with experts' opinions showing an average error of 2. 17 ±1. 8.

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Index Terms

Computer Science
Information Sciences

Keywords

Rranking computed tomography(CT) fuzzy logic control

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