An improved set pair analysis model for the prediction of rockburst

WANG Ming-wu; LI Li; JIN Ju-liang

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An improved set pair analysis model for the prediction of rockburst

更新时间：2026-06-25

- An improved set pair analysis model for the prediction of rockburst
- Vol. 29, Issue S1, (2008)
- 作者机构：
  
  1. 合肥工业大学土木与水利工程学院,合肥,230009
  2. 合肥工业大学资源与环境工程学院,合肥,230009
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU457
- Online First：15 April 2016，
  
  Published：2008
- 稿件说明：
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WANG Ming-wu, LI Li, JIN Ju-liang. An improved set pair analysis model for the prediction of rockburst[J]. 2008, 29(S1).
DOI：

WANG Ming-wu, LI Li, JIN Ju-liang. An improved set pair analysis model for the prediction of rockburst[J]. 2008, 29(S1). DOI：

摘要

正确预测岩爆是灾害治理和工程措施的基础。应用集对分析理论探讨了岩爆预测新方法，建立了基于接近度概念的模糊差异度系数的改进计算模型，实例及同其他方法的对比应用表明：基于改进的集对分析方法来预测岩爆是有效可行的，且取得了较好的结果。

Abstract

The exact predication of rockburst is a foundation for the disaster harness of rockburst and engineering measures. An improved calculation model for the predication of rockburst using the theory of set pair analysis (SPA) based on data mining is discussed. A model for data mining in fuzzy difference coefficient using the concept of the approach degree is investigated during the procedure of SPA. The results from the application to practical example and comparisons with other methods are fairly good. And they also show that the improved method of SPA used to forecast intensity of rockburst is feasible and effective.

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