A Rough Set Intelligent System Applied to Robotic Data Fusion
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摘要: 粗集理论是一种处理不精确知识的数学工具.该文提出了一种将粗集理论与人工神经 网络、模糊聚类结合起来的信息融合方法,用于装配机器人的工件识别与分类.实验结果表明, 该方法在优选属性、分类正确率方面具有优越性.Abstract: Rough set theory is a kind of new tool for dealing with imprecise knowledge. In this paper, a data fusion system combining RS with artificial neural network and fuzzy clustering is applied to object recognition and classification. Experiment on the system with an intelligent robot shows that the system could get satisfying result in optimizing attributes and high classification rate.
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Key words:
- Rough set theory /
- robot /
- data fusion /
- target recognition and classification
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