In order to precisely predict the hazard degree of goaf（HDG）, the RS-TOPSIS model was built based on the results of expert investigation. To evaluate the HDG in the underground mine, five structure size factors, i.e. goaf span, exposed area, goaf height, goaf depth, and pillar width, were selected as the evaluation indexes. And based on rough dependability in rough set（RS）theory, the weights of evaluation indexes were identified by calculating rough dependability between evaluation indexes and e... 

【文章來(lái)源】：Journal of Central South University. 2015,22(02)EISCICSCD

【文章頁(yè)數(shù)】：9 頁(yè)

【文章目錄】：
1 Introduction
2 Basic idea of RS-TOPSIS method
    2.1 Rough set (RS) theory
    2.2 TOPSIS method
        1) Establishment of initial decision matrix.
        2) Normalization of decision matrix.
        3) Calculation of weighted normalized decision matrix.
        4) Calculation of closeness coefficient to ideal solutions
3 Criterion indices selection
    3.1 Sample selection
    3.2 Questionnaire design
    3.3 Statistical analysis of questionnaire results
4 Identification of HDG by RS-TOPSIS method
    4.1 Classification criterion of HDM based on scale effect of structure
    4.2 Weight calculation of evaluation indicators based on RS
    4.3 Identification of HDG by RS-TOPSIS
5 Contrast research of results of HDG
6 Conclusions


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