Abstract
Evaluation of rock mass quality is of great significance to the design and construction of geotechnical engineering. In order to evaluate the quality of engineering rock mass scientifically and deal with the fuzzy information in the rock mass quality evaluation reasonably, a model for evaluation of rock mass quality based on unascertained measure and intuitionistic fuzzy sets (UM-IFS) was proposed. First, the membership of rock mass quality evaluation index was determined by the single index measure function of unascertained measure (UM) theory. Based on the intuitionistic fuzzy sets (IFS) theory, the single index measure evaluation matrix based on IFS (IFS-single index measure evaluation matrix) was obtained. By synthesizing various subjective and objective weighting methods, the range of index weight was determined, and the index weight vector based on IFS (IFS-index weight vector) was constructed. Then, the IFS-single index measure evaluation matrix and the IFS-index weight vector were used to calculate the scores of rock mass samples and evaluate rock mass quality. Finally, fuzzy analysis was performed on the weight of rock mass quality evaluation index. The established model for evaluation of rock mass quality was applied to the underground engineering rock mass in Guangzhou pumped storage power plant, and the evaluation results were compared with the other 4 effective models for rock mass quality evaluation. The results show that rock mass quality evaluation based on UM-IFS is consistent with the actual situation, and the fuzziness of evaluation index weight has no obvious correlation with its value.
Highlights
In every stage of geotechnical engineering design and construction, it is necessary to classify the rock mass quality correctly and economically for supporting design and safe construction of geotechnical engineering [1, 2]. erefore, an accurate and objective method for engineering rock mass evaluation is of great significance to engineering construction.Over the past decades, research on rock mass evaluation has gained enormous attention
In order to satisfy the expression of fuzzy information and improve the efficiency in evaluation of rock mass quality as much as possible, this work introduces the theory of unascertained measure (UM) [30] into intuitionistic fuzzy sets (IFS), improves the calculation method for membership of IFS, and proposes a model for evaluation of rock mass quality based on unascertained measure and intuitionistic fuzzy set (UM-IFS)
In order to reduce the deficiency of single weighting method in the analysis of index importance, improve the rationality of index weight determination process and obtain the information contained in different weighting methods, according to IFS theory, IFS can evaluate an attribute in the form of interval value. erefore, the range of index weight can be obtained by different weighting methods, and the index weight can be expressed as an interval value by using IFS
Summary
In every stage of geotechnical engineering design and construction, it is necessary to classify the rock mass quality correctly and economically for supporting design and safe construction of geotechnical engineering [1, 2]. erefore, an accurate and objective method for engineering rock mass evaluation is of great significance to engineering construction. Wu et al [18] proposed a method for classification of rock mass quality based on MCS-TOPSIS, which used the combination weighting method to determine the index weight. In order to satisfy the expression of fuzzy information and improve the efficiency in evaluation of rock mass quality as much as possible, this work introduces the theory of unascertained measure (UM) [30] into IFS, improves the calculation method for membership of IFS, and proposes a model for evaluation of rock mass quality based on unascertained measure and intuitionistic fuzzy set (UM-IFS). The established model is applied to evaluation of engineering rock mass quality to verify the feasibility and sensitivity analysis on weight of evaluation index.
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