Abstract
Improved Rock Engineering System (RES)- Multidimensional Cloud Evaluation Model and Its Application to the Rock Mass Blastability
Highlights
In the mining process used in metal mines, blasting is still nowadays the principal means of mine production
The results show that the rock mass blastability classification model based on the improved rock engineering system (RES)-multidimensional cloud model is more realistic in the actual grading
The statistical probabilistic result of the Expert Semi-quantitative (ESQ) coding was used as the input predecessor of the inference process
Summary
In the mining process used in metal mines, blasting is still nowadays the principal means of mine production. Artificial intelligence algorithms propose a new method to address the multi-index evaluation of the rock mass blastability and aim to solve this problem [4], [5]. Xue et al proposed the attribute recognition model (ARM) to assess and classify the rock mass blastability in engineering blasting. This method is based on the attribute mathematical theory [9]. These studies have perfected the theoretical analysis of the rock mass blastability classification from different angles By analyzing these studies, one notices that the traditional single indicator evaluation often does not take into consideration the uncertainty on the index factor. An improved RES-multidimensional cloud model is established to classify the rock mass blastability.
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