EN
TR
A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model
Abstract
Despite there are obligation that application the risk analysis and take precaution at work places with 6331 law and related regulations, on protection of buildings from fire at our country, work places fires could have not prevented. In risk analysis studies, it is important difficulties that there is no information about starting places of fires and causes leading to the start of fires, and inability to select the right risk analysis method in occupaitonal safety studies. In addition to this, randomization of calculations in the application of risk analysis leads to either too costly prevention to be taken or insufficient measures to be taken. In this studies, first of all to the results of the report review of the fires that took place in İzmir for the determination of the starting locations of the fires that could be caused by the electrical installations used in the work places and electrical devices are presented. Secondly in our studies given hazard knowledges that obtained with control studies at an elementary school's electrical installations are presented. Finally, the results of the Fine-Kinney risk analysis carried out with these informations obtained are presented.
Keywords
References
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- [3] http://www.sinerjiyangin.com/forum/printer_frien dly_posts.asp?TID=68 (Erişim Tarihi: 03.05.2017)
- [4] Şengöz, M.C., Merdan, M. 2015. 2010 – 2014 Yılları Arası, İzmir’deki Yaşam Alanlarında, Elektrik Arkları Nedeniyle Meydana Gelen Yangınların İncelenmesi ve Alınacak Önlemlere Dair Çözüm Önerileri. Yangın ve Güvenlik Sempozyumu ve Sergisi.12-13 Kasım, İstanbul, 149-163.
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Details
Primary Language
English
Subjects
-
Journal Section
Research Article
Publication Date
December 27, 2017
Submission Date
July 5, 2017
Acceptance Date
November 14, 2017
Published in Issue
Year 2017 Volume: 3 Number: 3
APA
Şengöz, M. C., & Merdan, M. (2017). A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model. Gazi Journal of Engineering Sciences, 3(3), 74-82. https://izlik.org/JA42HX94GE
AMA
1.Şengöz MC, Merdan M. A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model. GJES. 2017;3(3):74-82. https://izlik.org/JA42HX94GE
Chicago
Şengöz, Mehmet Cem, and Mustafa Merdan. 2017. “A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model”. Gazi Journal of Engineering Sciences 3 (3): 74-82. https://izlik.org/JA42HX94GE.
EndNote
Şengöz MC, Merdan M (December 1, 2017) A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model. Gazi Journal of Engineering Sciences 3 3 74–82.
IEEE
[1]M. C. Şengöz and M. Merdan, “A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model”, GJES, vol. 3, no. 3, pp. 74–82, Dec. 2017, [Online]. Available: https://izlik.org/JA42HX94GE
ISNAD
Şengöz, Mehmet Cem - Merdan, Mustafa. “A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model”. Gazi Journal of Engineering Sciences 3/3 (December 1, 2017): 74-82. https://izlik.org/JA42HX94GE.
JAMA
1.Şengöz MC, Merdan M. A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model. GJES. 2017;3:74–82.
MLA
Şengöz, Mehmet Cem, and Mustafa Merdan. “A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model”. Gazi Journal of Engineering Sciences, vol. 3, no. 3, Dec. 2017, pp. 74-82, https://izlik.org/JA42HX94GE.
Vancouver
1.Mehmet Cem Şengöz, Mustafa Merdan. A Study on Correct Classification Performance of Unconstraint Partial Proportional Odds Model. GJES [Internet]. 2017 Dec. 1;3(3):74-82. Available from: https://izlik.org/JA42HX94GE
