QQ客服 官方微博 反馈留言

	Closed form fuzzy interpolation with interval type-2 fuzzy sets
	Yang, Longzhi ; Chen, Chengyuan ; Jin, Nanlin ; Fu, Xin ; Shen, Qiang ; Fu X(傅馨)
	2014
关键词	Fuzzy rules Interpolation Membership functions
英文摘要	Conference Name:2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014. Conference Address: Beijing, China. Time:July 6, 2014 - July 11, 2014.; Fuzzy rule interpolation enables fuzzy inference with sparse rule bases by interpolating inference results, and may help to reduce system complexity by removing similar (often redundant) neighbouring rules. In particular, the recently proposed closed form fuzzy interpolation offers a unique approach which guarantees convex interpolated results in a closed form. However, the difficulty in defining the required precise-valued membership functions still poses significant restrictions over the applicability of this approach. Such limitations can be alleviated by employing type-2 fuzzy sets as their membership functions are themselves fuzzy. This paper extends the closed form fuzzy rule interpolation using interval type-2 fuzzy sets. In this way, as illustrated in the experiments, closed form fuzzy interpolation is able to deal with uncertainty in data and knowledge with more flexibility. ? 2014 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/FUZZ-IEEE.2014.6891643
出版者	Institute of Electrical and Electronics Engineers Inc.
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85254]
专题	管理学院－会议论文
推荐引用方式 GB/T 7714	Yang, Longzhi,Chen, Chengyuan,Jin, Nanlin,et al. Closed form fuzzy interpolation with interval type-2 fuzzy sets. 2014-01-01.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。