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Fuzzy And/Or Graphic Reasoning Model Under Quotient Space Theory
Sydney Australia November 28-December 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.104International Conference on Computati ...
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Junjie CHEN, Taiyuan University of Technology, China
Kai YANG, Taiyuan University of Technology, China
Fuzzy set theory and quotient space theory are both the classical tools of Granular Computing. In this paper, we introduced the fuzzy set representations of granules into the and/or graphic reasoning model based on quotient space theory; extended the crisp reasoning to fuzzy; advanced and proved a fuzzy and/or graphic reasoning model under quotient Space theory; used this approach to solve the reasoning problem of fuzzy granule.
Citation:
Junjie CHEN, Kai YANG, "Fuzzy And/Or Graphic Reasoning Model Under Quotient Space Theory," cimca, pp.169, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
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