The Application of the Improved Fuzzy k-modes Algorithm to Forecastthe Karst Collapse Hazard
[1]Feng Yong,Chen Pengju.The Application of the Improved Fuzzy k-modes Algorithm to Forecastthe Karst Collapse Hazard[J].Journal of Zhengzhou University (Engineering Science),2012,33(05):30-33.[doi:10.3969/j.issn.1671-6833.2012.05.007]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
33
Number of periods:
2012 05
Page number:
30-33
Column:
Public date:
2012-09-10
- Title:
- The Application of the Improved Fuzzy k-modes Algorithm to Forecastthe Karst Collapse Hazard
- CLC:
- TU472.6
- DOI:
- 10.3969/j.issn.1671-6833.2012.05.007
- Abstract:
- The influence factors of karst collapse are very complex, and they are usually be expressed by cate.gorical data. Although the mathematical theory of quantitative forecasting is quite mature, it has many limitations in processing large scale qualitative data. Therefore, it is necessary to introduce and apply processingqualitative data to forecast the ground collapse risk in karst region, For the improved fuzzy k-modes algorithm,the frequency of each attribute value of each attribute is taken as the cluster’s center, The distance of objectscan be modified by the weight of each attribute. A non-random method is applied to choose the clustering cen-ters , which can ensure the clustering results of complex qualitative data accuracy and reliability. Therefore, inthis paper, based on analysis on the influenee factors in Wuhan karst collapses, the improved fuzzy k-modesalgorithm was used to forecast the hazard potentiality of karst collapse in Wuhan city and good results havebeen obtained, It was found that the application of this model could get good effictiveness and this modelshould be adopted widely.
- References:
- -
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Last Update:
1900-01-01