基于粗糙集和理想点法的隧道围岩分类研究

理想点法是一种多目标决策分析法，其基本思路是通过构造多指标问题的理想解和反理想解，并以靠近理想解和远离反理想解的程度作为各评价对象的判断依据，基于此原理建立了隧道围岩分类的理想点法评价模型。理想点法各指标权重的取值是否合理对最终的评判结果有着很大的影响，采用粗糙集理论把权重问题转化为粗糙集中属性重要性评价问题，以此来确定各指标权重。该方法不需先知经验，求解过程完全由实际样本驱动，具有很强的可操作性。建立了基于粗糙集和理想点法的隧道围岩分类模型，并应用于实际工程，结果表明，该方法的分类结果与实际相符，基于粗糙集和理想点法为隧洞围岩分类提供了一种新思路

Study of tunnel surrounding rock classification based on rough set and ideal point method

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