基于灰色模糊多属性群决策的边坡处治方案优选研究

Optimization of Slope Treatment Schemes Based on Gray Fuzzy Multi-attribute Group Decision Making

为抑制边坡处治中常见的边坡处治方案选择不合理的现象,根据边坡处治方案优选过程的灰性、模糊性、多属性、群体性特征和安全、质量、造价、工期、环境5大建设管理基本目标,运用灰度、隶属度、多属性和群决策构建基于灰色模糊多属性群决策的边坡处治方案优选模型。以布卡隧道进口K214+500至K214+700边坡工程为例,验证所构建模型的可行性。研究结果表明:该模型能够充分利用受邀专家的咨询意见,使优选过程考虑更全面、更符合实际,提高优选结果的准确性,具有较好的实用性。

To curb the common phenomenon that slope treatment schemes are selected unreasonably in practice, a model of optimizing slope treatment schemes based on gray fuzzy multi-attribute group decision-making is proposed through combined application of membership degree, gray degree, multi-attribute decision-making, and group decision - making. The fuzzy, gray, multi - attribute , and group characteristics of slope treatment schemes optimization process as well as five basic goals of safety, quality, cost, time and environment in project construction management are taken as the basis. The slope treatment project from K214＋500 to K214＋700 of Buka tunnel entrance is taken as a case study to verify the feasibility of the proposed model. Results show that the proposed model is more comprehensive and practical by making full use of invited experts＇ advices. It also improves the accuracy of the optimization result.