复杂匹配特征的推理算法

Proceedings of the 4th International Conference on Machine Learning and Soft Computing Pub Date : 2020-01-17 DOI:10.1145/3380688.3380689

Wei Jiang, Yanchao Yin

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引用次数: 0

摘要

针对复杂曲面间匹配关系描述不清、未充分考虑反映过程约束的特征属性的问题，提出了一种基于特征匹配拓扑排序的精确推理算法。在分析典型复杂曲面匹配过程相关性和特征属性的基础上，构建了匹配拓扑排序模型。通过有向无环图对匹配对象进行封装和拓扑排序，利用模糊理想解实现匹配特征属性之间的精确推理。最后，通过应用实例验证了模型和算法的有效性。

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Reasoning Algorithms for Complex Matching Features

Aiming at the problem of unclear description of matching relationship between complex surfaces and insufficient consideration of feature attributes reflecting process constraints, an accurate reasoning algorithm based on topological ranking of feature matching is proposed. Based on the analysis of matching process correlation and feature attributes of typical complex surfaces, a matching topological sequencing model is constructed. The matching objects are encapsulated and topologically ranked by directed acyclic graph, and the precise reasoning among matching feature attributes is realized by using the fuzzy ideal solution. Finally, the validity of the model and the algorithm is verified by an application case.

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Proceedings of the 4th International Conference on Machine Learning and Soft Computing

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