Application of set pair analysis method on occupational hazard of coal mining

2017 ◽  
Vol 92 ◽  
pp. 10-16 ◽  
Author(s):  
Tan Chong ◽  
Song Yi ◽  
Che Heng
2012 ◽  
Vol 518-523 ◽  
pp. 1273-1277
Author(s):  
Yun Xia Xie ◽  
Wen Sheng Wang

It is a critical issue to assess risk degree of natural disasters in China. Firstly the assessment indexes and assessment standard grades of natural disasters risk degree are established, then comes up with a new approach to assess risk degree of natural disasters: Set Pair Analysis Method (SPAM), finally acquires the risk degree grades of Chinese natural disasters based on SPAM. The SPAM takes the fuzzy of grade standards into full account, and is simple in concept and easy in calculation and application. The results of evaluation about Chinese natural disasters risk degree are credible.


2009 ◽  
Vol 52 (10) ◽  
pp. 3017-3023 ◽  
Author(s):  
WenSheng Wang ◽  
JuLiang Jin ◽  
Jing Ding ◽  
YueQing Li

2011 ◽  
Vol 60 (2) ◽  
pp. 367-379 ◽  
Author(s):  
Wang Wensheng ◽  
Li Yueqing

2011 ◽  
Vol 8 (2) ◽  
pp. 851-858 ◽  
Author(s):  
Li Pei-Yue ◽  
Qian Hui ◽  
Wu Jian-Hua

Groundwater quality assessment is an essential study which plays important roles in the rational development and utilization of groundwater. Groundwater quality greatly influences the health of local people. However, most traditional water quality comprehensive assessment methods which have complicated formulas are difficult to apply in water quality assessment. In this paper, a novel method for groundwater quality assessment called set pair analysis was introduced and entropy weight was assigned to each index to improve the assessment model. The calculation steps are depicted in the paper and take groundwater quality assessment in Dongsheng City as a case study. The assessment results indicated that groundwater qualities in the study area were relatively good, Set Pair Analysis method, which was an optimal method for groundwater quality assessment and worth promoting, was easy to use and calculation processes which use almost all the relative information were simple, results were reasonable, reliable and intuitive.


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