NDLI: Tolerance granular space and its applications

Content Provider	IEEE Xplore Digital Library
Author	Zheng Zheng Hong Hu Zhongzhi Shi
Copyright Year	2005
Description	Author affiliation: Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China (Zheng Zheng; Hong Hu; Zhongzhi Shi)
Abstract	Granular computing as an enabling technology and as such it cuts across a broad spectrum of disciplines and becomes important to many areas of applications. In this paper, the notions of tolerance relation based information granular space are introduced and formalized mathematically. It is a uniform model to study problems in model recognition and machine learning. The key strength of the model is the capability of granulating knowledge in both consecutive and discrete attribute space based on tolerance relation. Such capability is re-established in granulation and an application in image texture-shape recognition is illustrated. Simulation results show the model is effective and efficient.
Sponsorship	IEEE Comput. Intelligence Soc
Starting Page	367
Ending Page	372
File Size	2770323
Page Count	6
File Format	PDF
ISBN	0780390172
DOI	10.1109/GRC.2005.1547306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Costs Computational modeling Tolerance Relation Pattern recognition Granular Computing Space technology Operating systems Machine learning Information processing Feature extraction Problem-solving Granular Space
Content Type	Text
Resource Type	Article

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