The ANP-Fuzzy-TOPSIS model for the optimization of the scheme of large-section blasting

摘要

In view of the difficulty of decision-making in the scheme selection of a bauxite mine in extensive section blasting, it is combined with analytic network process (ANP), fuzzy theory, and TOPSIS theory. The establishment of ANP-Fuzzy-TOPSIS comprehensive evaluation index system of comprehensive evaluation model can optimize the 3 selections of blasting scheme. From the 10 indicators of careful consideration of the impact of blasting scheme selection factors of 3 aspects of economy, technology, and safety, through the analytic hierarchy process, it objectively determines the weight vector of each evaluation index. Then, combined with the theory of fuzzy mathematics and the ideal construction of ANP-Fuzzy-TOPSIS comprehensive evaluation model solution method principle, the comprehensive evaluation index of each scheme calculate is calculated based on the superior degree. The selected cutting scheme is superior to 49.8%, 51.3%, and 48.4% to determine the second kinds of blasting scheme (double wedge cut) optimal. The results of this study are consistent with the results of BP neural network method, catastrophe progression method, and AHP-TOPSIS model, which prove the feasibility of the model.