基于AHP和BP神经网络的装配式建筑供应商评价模型

Evaluation model of prefabricated building suppliers based on AHP and BP neural network

装配式建筑的核心即装配式构件的应用,而装配式构件的质量直接影响着装配式建筑的质量,因此,选择优质可靠的装配式建筑供应商至关重要。以发包商的视角,综合考虑与装配式建筑供应商选择有关的各个方面,建立起装配式建筑供应商综合评价指标体系,并利用AHP层次分析法为各层次指标赋权,用人工神经网络对装配式建筑供应商状况进行评价,从而得出了可供推广的AHP-BP模型,验证了该模型的可行性和有效性,为高效可靠地选择装配式建筑供应商提供决策参考。

The core of prefabricated building is the application of prefab components,and the quality of prefab components directly affects the quality of prefab building,so it is very important to choose high-quality and reliable prefabricated building suppliers.In this paper,based on the perspective of clients,considering all aspects related to selections of prefabricated building suppliers,a comprehensive evaluation index system of prefabricated building suppliers is established,and analytic hierarchy process(AHP)is used to give weight to all levels of indicators,and artificial neural network is used to evaluate the status of prefabricated construction suppliers.Thus,AHP-BP model available for promotion is obtained,and the feasibility and validity of the model are verified.This study can provide decision-making reference for efficient and reliable selection of prefabricated building suppliers.