基于合作博弈-云化AHP的地铁隧道施工方案选优

为了研究多专家对多方案的比选排序规则及数据特点，提出一种基于合作博弈-云化AHP算法处理该问题，并用以地铁隧道施工方案选择。方案选择对于控制施工成本，保证施工安全尤为重要。使用云模型嵌入AHP构建云化AHP模型对专家提供的不确定信息进行处理，得到在考虑实际工程背景下的方案偏好排序。使用合作博弈模型得到多个方案排序的综合排序。根据方案权重最大原则确定最优方案。分析了3位专家对3种隧道施工方案的偏好排序，其结果表明:对于给定的工程背景，盾构法施工是最优的。与现有4种模型进行对比，说明了其能更好地处理数据的不确定性，综合专家决策群意见，且数据量和计算量较小。

Optimum selection of construction scheme for subway tunnel based on cooperative game and cloudization AHP

In order to study the comparing selection sort rule of multiple experts to multiple schemes and the characteristics of data, an algorithm with cooperative game and cloudization AHP was put forward to deal with the problem, and it was used in selection of construction scheme for subway tunnel. The selection of scheme is particularly important for controlling the construction cost and ensuring the construction safety. The cloud model is embedded in AHP to construct the cloudization AHP model, which can process the uncertain information provided by the experts, and the preference order of schemes can be obtained by considering the actual engineering background. The comprehensive sort of multiple schemes can be obtained using the cooperative game model, and the optimal scheme can be determined according to the weight maximum principle. The preference sort of 3 experts on 3 kinds of tunnel construction schemes was analyzed. The results showed that the shield method construction is the optimum for the given engineering background. Compared with the existing 4 models, it can better handle the uncertainty of data, integrate the group opinion of expert decision-making, with the smaller amount of data and calculation.