Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/3809
Title: Type-2 Fuzzy Rule-Based Expert System for Diagnosis of Spinal Cord Disorders
Authors: Damirchi-Darasi, S. Rahimi
Zarandi, Mohammad Hossein Fazel
Türksen, İsmail Burhan
İzadi, M.
Keywords: Type-2 fuzzy expert system
Forward-backward chaining
Parameter optimization
Spinal cord disorder
Rule-based expert system
Issue Date: Jan-2019
Publisher: Sharif University of Technology
Source: Damirchi-Darasi, S. R., Zarandi, M. F., Turksen, I. B., & Izadi, M. (2019). Type-2 fuzzy rule-based expert system for diagnosis of spinal cord disorders. Scientia Iranica. Transaction E, Industrial Engineering, 26(1), 455-471.
Abstract: The majority of people have experienced pain in their low back or neck in their lives. In this paper, a type-2 fuzzy rule-based expert system is presented for diagnosing the spinal cord disorders. The interval type-2 fuzzy logic system permits us to handle the high uncertainty of diagnosing the type of disorder and its severity. The spinal cord disorders are studied in five categories using historical data and clinical symptoms of the patients. The main novelty of this paper lies in presentation of the interval type-2 fuzzy hybrid rule-based system, which is a combination of the forward and backward chaining approaches in its inference engine and avoids unnecessary medical questions. Use of parametric operations for fuzzy calculations increases the robustness of the system and the compatibility of the diagnosis with a wide range of physicians' diagnosis. The outputs of the system are comprised of type of disorder, location, and severity as well as the necessity of taking an M.R. Image. A comparison of the performance of the developed system with the expert shows an acceptable accuracy of the system in diagnosing the disorders and determining the necessity of the M.R. Image.
URI: https://hdl.handle.net/20.500.11851/3809
http://scientiairanica.sharif.edu/article_20228.html
ISSN: 1026-3098
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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