基于IGN与GRAP-TOPSIS的预制构件供应商优选

Selection of Prefabricated Component Suppliers for Assembled Building Based on IGN and GRAP-TOPSIS

大力发展装配式建筑是我国建筑业应对转型升级挑战的关键举措,选好预制构件供应商则可为装配式建筑的高质量发展提供源头保障.利用Citespace词频分析、BWM赋权法、基于区间灰数(IGN)和核与灰度分解的GRAP-TOPSIS法构建出包含评价指标体系和评价方法的预制构件供应商优选模型,该模型兼顾了普适性和个案适配性并弥补了预制构件供应商优选决策中的信息不对称.最后,通过算例分析证明了该模型的可操作性和有效性.

To vigorously develop assembled buildings is a key measure for China's construction industry to cope with the challenges of transformation and upgrading,and choosing the right supplier of prefabricated components can provide the source guarantee for the high-quality development of the assembled buildings.Citespace word frequency analysis,BWM weighting method,GRAP-TOPSIS method based on Interval Grey Number and kernel and grayscale decomposition were used to build a prefabricated component supplier optimization model,which includes evaluation index system and evaluation method.This model takes into account both,universality and individual case adaptability and makes up for information asymmetry in decision making.Finally,the operability and effectiveness of the model-were proved by an example.