Wang Jin-Feng
Institute of Management Engineering, Zhengzhou University, Henan, 450001, China
Zhai Xue-Qi
Institute of Management Engineering, Zhengzhou University, Henan, 450001, China
Feng Li-Jie
Institute of Management Engineering, Zhengzhou University, Henan, 450001, China
Pan Yun-Bo
Institute of Management Engineering, Zhengzhou University, Henan, 450001, China
ABSTRACT
Identification of security status of production logistics system in coal mine is important to analyze the weak links and improve the safety level of coal mine safety production. Combining with the particularity and complexity of production logistics system of coal mine, this paper established an identification model of safe state by using the rough set theory (RS) and support vector machine method (SVM). It selected key safety index with the theory of rough set, and used SVM to identify safety status. It showed that identification model of security state based on RS-SVM simplified the computational complexity and improved the identification accuracy of security state.
PDF References Citation
Received: August 02, 2013;
Accepted: October 06, 2013;
Published: November 16, 2013
How to cite this article
Wang Jin-Feng, Zhai Xue-Qi, Feng Li-Jie and Pan Yun-Bo, 2013. Identification of Security Status of Production Logistics System in Coal Mine Based on RSSVM. Journal of Applied Sciences, 13: 5452-5457.
DOI: 10.3923/jas.2013.5452.5457
URL: https://scialert.net/abstract/?doi=jas.2013.5452.5457
DOI: 10.3923/jas.2013.5452.5457
URL: https://scialert.net/abstract/?doi=jas.2013.5452.5457
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