Rock Mass Quality Evaluation and Application Based on IAHP-GRA and Multi-Dimensional Connection Cloud
Considering the randomness and fuzziness of rock mass quality evaluation,as well as the strong correlation between indicator factors and blind grayness of indicator data,a model of rock mass quality evaluation based on a game theory combination weighting method(IAHP-GRA)and multi-dimensional connection cloud was established.On the basis of constructing a rock mass quality evaluation index system,the IAHP-GRA was used to calculate the comprehensive weight of the indicators,overcoming the drawbacks of traditional weighting methods.Based on the multi-dimensional connection cloud theory,the rock mass quality status was comprehensively determined by calculating the cloud comprehensive determinacy and using the maximum membership degree as the grading criterion for rock mass quality.15 sets of rock sample data were collected for the reliability testing of model,and compared with the evaluation results of one-dimensional cloud and variable fuzzy sets.Finally,the model was applied to analyze three intermediate rock samples from a certain gold mine to further examine its adaptability.The results show that the rock mass quality evaluation based on IAHP-GRA and multi-dimensional connection cloud is basically consistent with the actual situation,and the evaluation results are better than the other models,which can provide a theoretical support for rock mass quality evaluation.
Rock mass quality evaluationIAHP-GRAMulti-dimensional connection cloud modelInterval analytic hierarchy process
NETL
NSTL
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