基于主成分分析法土地储备风险的定量评估 |
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引用本文: | 朱家明,程倩倩,朱海龙. 基于主成分分析法土地储备风险的定量评估[J]. 成都电子机械高等专科学校学报, 2015, 0(1): 22-25. DOI: 10.13542/j.cnki.51-1747/tn.2015.01.006 |
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作者姓名: | 朱家明 程倩倩 朱海龙 |
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作者单位: | 1. 安徽财经大学 统计与应用数学学院,安徽 蚌埠,233030;2. 安徽财经大学 管理科学与工程学院,安徽 蚌埠,233030 |
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基金项目: | 国家自然科学项目,安徽财经大学教研项目 |
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摘 要: | 针对土地储备方案的风险评估,使用Excel对所给土地储备方案的相关数据筛选和处理,其次采取主成分分析、模糊C均值聚类分析和正态性检验等方法,建立了土地储备方案风险等相关的评价模型。运用Matlab编程,得到了主要通过建立风险评价指标来衡量土地储备方案的总风险,并确立相应的风险评价标准,得到了对土地储备风险进行有效评估的方法。
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关 键 词: | 土地储备 风险评价指标 聚类分析 正态性检验 Matlab |
Quantitative Land Reserve Risk Assessment Based on Principal Component Analysis |
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Abstract: | Aiming at the risk assessment for land reserve programs, the authors used Excel land reserve programs to screen and process related data, then employed the principal component analysis, fuzzy C-means clustering analysis and normality test methods to establish a land reserve program risk and other related evaluation model.Finally, Matlab programming was used to get total risk primarily through the establishment of risk assessment index to measure land reserve programs, and to establish appropriate risk assessment standard,at last, an effective approach for land reserve risk assessment was attained. |
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Keywords: | land reserve risk assessment index cluster analysis normality test Matlab |
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