论文标题
部分可观测时空混沌系统的无模型预测
Literature Review of the Recent Trends and Applications in various Fuzzy Rule based systems
论文作者
论文摘要
基于模糊规则的系统（FRBSS）是一种基于规则的系统，它使用语言模糊变量作为先例，因此代表人类可以理解的知识。它们已应用于整个软计算文献中的各种应用和领域。但是，FRBs遭受了许多缺点，例如不确定性表示，大量规则，可解释性损失，学习时间高的计算时间等，以克服FRBS的这些问题，存在许多FRBS的扩展。 This paper presents an overview and literature review of recent trends on various types and prominent areas of fuzzy systems (FRBSs) namely genetic fuzzy system (GFS), hierarchical fuzzy system (HFS), neuro fuzzy system (NFS), evolving fuzzy system (eFS), FRBSs for big data, FRBSs for imbalanced data, interpretability in FRBSs and使用簇质心作为模糊规则的FRBS。该评论为2010 - 2021年。本文还强调了该领域的重要贡献，出版统计和当前趋势。该论文还涉及几个开放研究领域，需要从FRBS研究社区进一步关注。
Fuzzy rule based systems (FRBSs) is a rule-based system which uses linguistic fuzzy variables as antecedents and consequent to represent human understandable knowledge. They have been applied to various applications and areas throughout the soft computing literature. However, FRBSs suffers from many drawbacks such as uncertainty representation, high number of rules, interpretability loss, high computational time for learning etc. To overcome these issues with FRBSs, there exists many extensions of FRBSs. This paper presents an overview and literature review of recent trends on various types and prominent areas of fuzzy systems (FRBSs) namely genetic fuzzy system (GFS), hierarchical fuzzy system (HFS), neuro fuzzy system (NFS), evolving fuzzy system (eFS), FRBSs for big data, FRBSs for imbalanced data, interpretability in FRBSs and FRBSs which use cluster centroids as fuzzy rules. The review is for years 2010-2021. This paper also highlights important contributions, publication statistics and current trends in the field. The paper also addresses several open research areas which need further attention from the FRBSs research community.
