Learning Fuzzy Concept Hierarchy and Measurement with Node Labeling

@inproceedings{Chien2007LearningFC,
  title={Learning Fuzzy Concept Hierarchy and Measurement with Node Labeling},
  author={Been-Chian Chien and Chih-Hung Hu and Ming-Yi Ju},
  booktitle={ISPA Workshops},
  year={2007}
}
A concept hierarchy is a kind of general form of knowledge representations. Since concept description is generally vague for human knowledge, crisp description for a concept usually cannot represent human knowledge completely and practically. In this paper, we discuss fuzzy characteristics of concept description and relationship. An agglomerative clustering scheme is proposed to learn hierarchical fuzzy concepts from databases automatically. We also propose the architecture of concept… CONTINUE READING
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