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Ranking and Evaluating CT Departments by Fuzzy Logic

International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 122 - Number 8
Year of Publication: 2015
Mohammed Shrief
Walid Al-atabany
Mohamed El-wakad

Mohammed Shrief, Walid Al-atabany and Mohamed El-wakad. Article: Ranking and Evaluating CT Departments by Fuzzy Logic. International Journal of Computer Applications 122(8):8-15, July 2015. Full text available. BibTeX

	author = {Mohammed Shrief and Walid Al-atabany and Mohamed El-wakad},
	title = {Article: Ranking and Evaluating CT Departments by Fuzzy Logic},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {122},
	number = {8},
	pages = {8-15},
	month = {July},
	note = {Full text available}


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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