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作 者:伍冬睿 曾志刚[1] 莫红[2] 王飞跃[3] WU Dong-Rui;ZENG Zhi-Gang;MO Hong;WANG Fei-Yue(Ministry of Education Key Laboratory on Image Information Processing and Intelligent Control,School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074;School of Electric and Information Engineering,Changsha University of Science and Technology,Changsha 410114;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190)
机构地区:[1]华中科技大学人工智能与自动化学院图像信息处理与智能控制教育部重点实验室,武汉430074 [2]长沙理工大学电气与信息工程学院,长沙410114 [3]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190
出 处:《自动化学报》2020年第8期1539-1556,共18页Acta Automatica Sinica
基 金:国家自然科学基金(61873321,U1913207);湖北省技术创新专项资助项目(2019AEA171);NSFC-深圳机器人基础研究中心重点项目(U1913207);科技部政府间国际科技创新合作重点专项(2017YFE0128300)资助。
摘 要:一型模糊集可以建模单个用户的语义概念中的不确定性,即个体内不确定性.一型模糊系统在控制和机器学习中得到了大量成功应用.区间二型模糊集能同时建模个体内不确定性和个体间不确定性,因而在很多应用中显示了比一型模糊系统更好的性能,是近年来的研究热点.本文首先介绍了区间二型模糊集的重要概念和理论研究进展,总结了其在决策和机器学习中的成功应用,然后介绍了区间二型模糊系统的基本操作和理论研究进展,并回顾了其在控制和机器学习中的典型应用.最后,对区间二型模糊集和模糊系统未来的研究方向进行了展望.Type-1 fuzzy sets can model the linguistic uncertainty from a single user,i.e.,intra-personal uncertainty.Type-1 fuzzy systems have been widely used in controls and machine learning applications.Interval type-2 fuzzy sets can simultaneously model both intra-personal uncertainty and inter-personal uncertainty,and hence have demonstrated better performance than type-1 fuzzy systems in many applications,becoming a hot research topic recently.This paper first introduces main concepts and theoretical research progresses of interval type-2 fuzzy sets,summarizes their successful applications in decision-making and machine learning,then introduces basic operations and theoretical research progresses of interval type-2 fuzzy systems,and reviews their typical applications in controls and machine learning.Finally,it points out several future research directions on interval type-2 fuzzy sets and systems.
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