Interpolative reasoning approach to sparse general type-2 fuzzy rules based on the reduced grid representation

Long Thanh Ngo, Minh Ngoc Vu, Kaoru Hirota

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Interpolative reasoning is one of the most interested problems with various approaches for type-1 fuzzy sets, interval type-2 fuzzy sets, recently. However, the related methods have not mentioned general type-2 fuzzy sets yet because of their computational complexity. The paper deals with an approach to representation theorem of general type-2 fuzzy sets using the reduced grid. A computational schema for interpolative reasoning of sparse general type-2 fuzzy rules is also introduced. This schema is not depended on the shape of membership functions. Beside, the parallelizing schema for GPU platform is proposed to speedup the algorithms. The proposed methods are implemented on both of GPU and CPU platforms with various membership functions.

源语言英语
主期刊名2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013
出版商Institute of Electrical and Electronics Engineers Inc.
72-78
页数7
ISBN(电子版)9781479934003
DOI
出版状态已出版 - 2013
已对外发布
活动2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013 - Hanoi, 越南
期限: 15 12月 201318 12月 2013

出版系列

姓名2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013

会议

会议2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013
国家/地区越南
Hanoi
时期15/12/1318/12/13

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