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作 者:丁晓欣[1] 徐熙震 王群[2] Ding Xiaoxin;Xu Xizhen;Wang Qun(School of Economics and Management,Jilin Jianzhu University,Changchun City,Jilin Province 130118;Shenzhen Polytechnic,Shenzhen City,Guangzhou Province 518005)
机构地区:[1]吉林建筑大学经济与管理学院,吉林长春130118 [2]深圳职业技术学院,广东深圳518055
出 处:《黄河科技学院学报》2023年第8期56-60,共5页Journal of Huanghe S&T College
基 金:国家自然科学基金项目“基于多智能体路径规划的装配式建筑部品部件协同优化原理与方法研究”(E0806-52078305)。
摘 要:由于预制构件是装配式建筑的核心构成要素,因此合理地选择预制构件供应商是装配式建筑顺利建成及运营的关键。针对承包商与供应商具有自我学习、自我适应的特点,基于多智能体系统建立了装配式建筑预制构件供应商选择体系结构,并在考虑到承包商选择预制构件供应商的决策结果会受其心理行为的影响,构建了直觉模糊熵-Topsis法的预制构件供应商评价模型,从而对备选的预制构件供应商进行综合排序,提高决策的合理性以及准确性。最后,结合数值分析验证该方法的可行性和有效性。Since prefabricated components are the core components of an assembled building,a reasonable selection of prefabricated component suppliers is the key to the smooth completion and operation of an assembled building.This paper establishes an architecture for the selection of prefabricated component suppliers for assembly buildings based on a multi-intelligence system,and constructs a prefabricated component supplier evaluation model based on the intuitionistic fuzzy entropy-Topsis method,taking into account that the decision results of contractors in selecting prefabricated component suppliers will be influenced by their psychological behaviour,so that the alternative prefabricated component.The precast suppliers are ranked in a comprehensive manner to improve the rationality and accuracy of the decision.Finally,the feasibility and effectiveness of the method are verified by combining numerical analysis.
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