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| 应用迭代自组织数据分析技术模糊聚类法划分伪装效能等级 | |
| 引用本文： | 吕绪良,林伟,许卫东,潘玉龙,孙文艳.应用迭代自组织数据分析技术模糊聚类法划分伪装效能等级[J].兵工学报,2005,26(5):681-684. |
| 作者姓名： | 吕绪良 林伟 许卫东 潘玉龙 孙文艳 |
| 摘 要： | 通过分析以往的等级划分的不足，提出以模糊聚类理论为基础的软划分方法，并以光学伪装等级划分为例，运用迭代自组织数据分析技术（ISODATA）模糊聚类原理，建立了光学伪装等级划分模型，成功实现了效能等级的划分，并最终确定了各等级指标量。 |
| 关 键 词： | 系统评估与可行性分析 伪装效能等级 伪装效能等级划分 ISODATA模糊聚类 |
| 文章编号： | 1000-1093（2005）05-0681-04 |
| 收稿时间： | 2004-12-10 |
| 修稿时间： | 2004-12-10 |
Applying the Fuzzy Clustering Analysis of ISODATA to the Classification of Camouflage Effectiveness |
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| Abstract: | A soft demarcation method based on the fuzzy clustering theory was proposed, which is better than the former classification methods. As an example, the fuzzy clustering of ISODATA was used to classify the optical camouflage effectiveness. The model and the algorithm of the optical camouflage effectiveness classification were established and analyzed. The effectiveness classification was achieved and the index values for each class were finally determined. |
| Keywords: | systematic estimation and feasibility analysis the class of camouflage effectiveness camouflage effectiveness classification the fuzzy clustering of iterative self-organizing data analysis technique |