王小艺;白玉廷;阳译;赵峙尧;王立;金学波;

• 1:北京工商大学人工智能学院
• 2:智慧环保北京实验室
• 3:国家环境保护食品链污染防治重点实验室

摘要(Abstract)：

藻类水华污染治理属于一项复杂的环境工程，传统的藻类水华污染治理方案的选择决策通常依赖人为知识经验。为实现决策管理的理性化和自动化，需要充分利用监测信息和领域专家知识等多源信息，并建立自动决策计算机制。为此提出一种基于多源异构信息的群决策方法。首先提出信息采集与决策总体框架，实现对多源异构信息的有效组织，为决策计算提供规范化计算流程；其次提出基于层次聚类的群决策方法，运用聚类与TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution)方法实现不同类型决策数据的综合；最后将群决策方法应用于湖泊藻类水华治理方案的决策问题，通过案例展示了所提方法在自动决策和多源信息利用方面的可行性。

关键词(KeyWords)： 环境工程学;藻类水华;群决策;治理;信息融合

Abstract:

Keywords:

基金项目(Foundation): 国家社会科学基金项目(19BGL184);; 北京优秀人才培养资助青年拔尖团队项目(2018000026833TD01);; 国家重点研发计划课题(2020YFC1606801);; 北京工商大学优青培育计划项目

作者(Authors): 王小艺;白玉廷;阳译;赵峙尧;王立;金学波;

DOI: 10.13637/j.issn.1009-6094.2021.0312

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