ZHANG Le-wen, QIU Dao-hong, LI Shu-cai, et al. Study of tunnel surrounding rock classification based on rough set and ideal point method[J]. 2011, 32(S1).
ZHANG Le-wen, QIU Dao-hong, LI Shu-cai, et al. Study of tunnel surrounding rock classification based on rough set and ideal point method[J]. 2011, 32(S1).DOI:
Ideal point method is a method commonly used in multiobjective decision analysis. That basic idea is to target the problem by constructing a multiobjective ideal solution and negative ideal solution
and take close to the ideal solution or away from the negative ideal solution as basis to evaluate the objects. Based on the ideal point method
a model of tunnel surrounding rock classification is established. It has great influence on the final evaluation results for the reasonable weight values of the evaluation indices. The rough set theory is adopted to determine the weights
and the problem of weights is converted into the attributes significance estimating in rough set. The method is fully derived by engineering samples
and no experience is necessary
with a strong operational. Finally
the model of tunnel surrounding rock classification is established based on rough set and ideal point method
and is applied to the practical engineering. The results show that this method is reliable and provides a new idea to surrounding rock classification