CAJ | 학술논문

随着模糊集的产生与发展，模糊推理已经成为计算智能领域的重要组成部分。对于模糊推理的基本问题，国内外学者进行了广泛研究，提出多种模糊推理算法。为了深入理解各种模糊推理算法，综述了模糊推理算法的研究进展，重点分析CRI方法、模糊推理的全蕴涵三I算法、基于相似度的模糊推理算法以及真值流模糊推理的现状及进展，希望能为模糊推理算法的研究提供引导作用。
수착모호집적산생여발전，모호추리이경성위계산지능영역적중요조성부분。대우모호추리적기본문제，국내외학자진행료엄범연구，제출다충모호추리산법。위료심입리해각충모호추리산법，종술료모호추리산법적연구진전，중점분석CRI방법、모호추리적전온함삼I산법、기우상사도적모호추리산법이급진치류모호추리적현상급진전，희망능위모호추리산법적연구제공인도작용。
With the development of fuzzy sets,fuzzy reasoning has become an important field of computational intelligence. For the basic problem of fuzzy reasoning,a lot of studies have been done,and many fuzzy reason-ing algorithms have been proposed. To understand these algorithms,the advances of fuzzy reasoning algorithms, such as CRI method,the full implication triple I method,the fuzzy reasoning methods based on the similarity and the truth-valued flow method are reviewed. Its purpose is to provide the guidance on the further study of fuzzy reasoning.