Title :
RGF-convergence theory of L-fuzzy nets and its applications
Author_Institution :
Sch. of Sci., Dept. of Math., Univ. of Jinan, Jinan, China
Abstract :
The convergence theory not only is a significantly basic theory of fuzzy topology and fuzzy analysis but also has wide applications in fuzzy inference and some other aspects. In this paper, the present author introduces the concept of RGF-remote-neighborhood of fuzzy points, establishes the Moore-Smith RGF-convergence theory of L-fuzzy net and discusses the applications of RGF-convergence of L-fuzzy nets.
Keywords :
convergence; fuzzy neural nets; fuzzy set theory; topology; L-fuzzy nets; Moore-Smith RGF-convergence theory; RGF-remote-neighborhood; fuzzy points; fuzzy topology; Cybernetics; Machine learning; L-fuzzy nets; L-fuzzy topology; RGF-convergence; RGF-remote-neighborhood;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212415
