Optimization Decision Model for Coal Dust Inhibitors Based on Pull-up Method Coupling TOPSIS Method

CHEN Yuanjiang; YUAN Hong

doi:10.13961/j.cnki.stbctb.2018.03.026

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Optimization Decision Model for Coal Dust Inhibitors Based on Pull-up Method Coupling TOPSIS Method

- Optimization Decision Model for Coal Dust Inhibitors Based on Pull-up Method Coupling TOPSIS Method
- Bulletin of Soiland Water Conservation Vol. 38, Issue 3, Pages: 162-166(2018)
- 作者机构：
  
  中南大学资源与安全工程学院,湖南,长沙,410083
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2018.03.026
  CLC：
- Published：2018
- 稿件说明：
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CHEN Yuanjiang, YUAN Hong. Optimization Decision Model for Coal Dust Inhibitors Based on Pull-up Method Coupling TOPSIS Method[J]. Bulletin of Soiland Water Conservation, 2018, 38(3): 162-166.
DOI：

CHEN Yuanjiang, YUAN Hong. Optimization Decision Model for Coal Dust Inhibitors Based on Pull-up Method Coupling TOPSIS Method[J]. Bulletin of Soiland Water Conservation, 2018, 38(3): 162-166. DOI： 10.13961/j.cnki.stbctb.2018.03.026.

摘要

[目的]建立煤尘抑制剂优选决策模型，为煤尘抑制剂的科学评价及决策提供有益的理论参考。[方法]通过引入TOPSIS方法（一种逼近理想解的排序方法），选取7个评价指标，采用拉开档次法确定指标权重，避免人为赋予指标权重的主观影响，提高了指标权重的科学性和客观性。[结果]通过运用该评价模型对10项近10 a的煤尘抑制剂的研究成果进行评价，结果表明：降解型抑尘剂为最优方案，煤尘抑制剂次之，氧化淀粉接枝丙烯酸丙烯酰胺抑尘剂最差。[结论]该模型通过定量的数据对抑尘方案的综合性能进行评价，有助于人们做出科学的决策。

Abstract

[Objective] To establish optimization decision model of coal dust inhibitors in order to provide a useful theoretical reference for scientific evaluation and decision of coal dust inhibitor.[Methods] Based on the technique of order preference by similarity to ideal solution (TOPSIS)

seven evaluation indexes were selected

and then weights were confirmed by using the pull-up method to avoid the subjectivity of decision maker.[Results] This model was applied to evaluate 10 research results of coal dust inhibitors in the last ten years. The results showed that the degradation dust suppressant was the best solution

followed by the coal dust inhibitor

while oxidized starch grafted acrylic acid acrylamide dust suppressant was the worst.[Conclusion] The model can effectively evaluate the comprehensive performance of dust suppression scheme by quantitative data

and which is of great importance for scientific decision making.

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references

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