Title :
Fuzzy And/Or Graphic Reasoning Model Under Quotient Space Theory
Author :
Chen, Junjie ; Yang, Kai
Author_Institution :
Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan
fDate :
Nov. 28 2006-Dec. 1 2006
Abstract :
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.
Keywords :
fuzzy reasoning; fuzzy set theory; graph theory; crisp reasoning; fuzzy granule; fuzzy reasoning model; fuzzy set theory; granular computing; graphic reasoning model; quotient space theory; Computational intelligence; Computer graphics; Educational institutions; Face; Fuzzy reasoning; Fuzzy set theory; Humans; Problem-solving; Software tools; Space technology;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2731-0
DOI :
10.1109/CIMCA.2006.104
