Projection Pursuit Method Based on Connection Cloud Model for Assessment of Debris Flow Disasters

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
M. W. Wang, Y. Wang, F. Q. Shen, J. L. Jin
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引用次数: 0

Abstract

A rational evaluation of the danger of debris flow disasters at the regional scale is essential for developing effective disas-ter prevention measures and economic planning in debris flow-prone areas. A novel projection pursuit method based on the connection cloud model and fruit fly optimization algorithm is addressed to analyze the dangerous degree of debris flow disasters at the regional scale, considering the random and fuzzy uncertainties of the projection direction vector. In this method, the connection cloud model gen-erates the candidate projection directions around the latest optimization; these candidate projection direction vectors are screened based on set pair analysis to advance the convergence rate. Case studies and comparisons with other algorithms are further carried out to verify the validity and reliability of the proposed method. Results demonstrate that the proposed method does not require existing evaluation criteria compared to the conventional evaluation methods. It can describe the randomness and fuzziness of the projection direction vector and better find the structural characteristics of fuzzy indicators randomly distributed in the finite intervals with a quicker convergence rate.
基于连接云模型的泥石流灾害评估投影寻踪方法
合理评价区域泥石流灾害危险性,是制定有效的泥石流灾害防治措施和泥石流易发地区经济规划的基础。考虑到投影方向向量的随机和模糊不确定性,提出了一种基于连接云模型和果蝇优化算法的投影寻踪方法,在区域尺度上分析泥石流灾害的危险程度。在该方法中,连接云模型围绕最新优化生成候选投影方向;基于集对分析对候选投影方向向量进行筛选,提高了算法的收敛速度。通过实例分析和与其他算法的比较,进一步验证了所提方法的有效性和可靠性。结果表明,与传统的评价方法相比,该方法不需要现有的评价标准。它可以描述投影方向向量的随机性和模糊性,更好地找到随机分布在有限区间内的模糊指标的结构特征,收敛速度更快。
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来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
期刊介绍: Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include: - Planning of energy, environmental and ecological management systems - Simulation, optimization and Environmental decision support - Environmental geomatics - GIS, RS and other spatial information technologies - Informatics for environmental chemistry and biochemistry - Environmental applications of functional materials - Environmental phenomena at atomic, molecular and macromolecular scales - Modeling of chemical, biological and environmental processes - Modeling of biotechnological systems for enhanced pollution mitigation - Computer graphics and visualization for environmental decision support - Artificial intelligence and expert systems for environmental applications - Environmental statistics and risk analysis - Climate modeling, downscaling, impact assessment, and adaptation planning - Other areas of environmental systems science and information technology.
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