Volume 30, Issue 3 (IJIEPR 2019)                   IJIEPR 2019, 30(3): 255-271 | Back to browse issues page

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Bonyadi Naeini A, Mojaradi B, Zamani M, Chawla V. Prevention of Cardiovascular Diseases by Combining GIS and Fuzzy Best-Worst Decision-Making Algorithm in Areas of Tehran. IJIEPR 2019; 30 (3) :255-271
URL: http://ijiepr.iust.ac.ir/article-1-884-en.html
1- A Member of the Management and Business Engineering Group , Bonyadi@iust.ac.ir
2- Faculty Member of Civil Engineering Department
3- Graduated of Executive Master of Business Administration (EMBA)
4- assistant professor , dept of MAE, IGDTUW, kashmiri gate, delhi
Abstract:   (3312 Views)
The frequency of chronic diseases such as cardiovascular diseases has significantly increased in recent years. This study is a developmental research which is categorized as descriptive-survey in terms of data collection method. The aim of this study is to prioritize 22 districts of Tehran for the purpose of prevention from cardiovascular diseases. In the present study, after extraction of the effective factors on the prevalence of cardiovascular diseases from previous studies, the weight of each factor with their specific data for each 22 districts of Tehran (collected from relevant organizations) is obtained using two levels of Fuzzy Delphi method and one level of fuzzy best-worst method, for confirming or denying factors and weighting them based on the opinion of 25 cardiologists, respectively, and transferred to Arc GIS software for prioritizing 22 districts of Tehran.Using a combination of fuzzy best-worst method, which is one of the newest methods for making multi-criteria decision, and GIS, for weighting parameters and prioritizing 22 districts of Tehran, gives an acceptable worth to the present study.Our results-after classification, drawing, and combination of maps- indicated that the 8th district (except a little part in the west) is the best district, and 16th and 19th districts (approximately whole district) are in the last priority for prevention of cardiovascular diseases. Other districts respectively placed in the second to 21th places.
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Type of Study: Research | Subject: Decision Analysis and Methods
Received: 2019/02/22 | Accepted: 2019/06/30 | Published: 2019/09/16

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