Weakly-Supervised Causal Discovery Based on Fuzzy Knowledge and Complex Data Complementarity

IF 10.7 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Fuzzy Systems Pub Date : 2024-10-03 DOI:10.1109/tfuzz.2024.3471187

Wenrui Li, Wei Zhang, Qinghao Zhang, Xuegong Zhang, Xiaowo Wang

引用次数: 0

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基于模糊知识和复杂数据互补性的弱监督因果发现

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Fuzzy Systems 工程技术-工程：电子与电气

CiteScore

20.50

自引率

13.40%

发文量

517

审稿时长

3.0 months

期刊介绍： The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.