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IEICE TRANSACTIONS on Fundamentals

A Fixed Point Theorem for Recurrent System of Fuzzy-Set-Valued Nonlinear Mapping Equations

Kazuo HORIUCHI

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Summary :

Let us introduce n ( 2) nonlinear mappings fi (i = 1,2,,n) defined on complete linear metric spaces (Xi-1,ρ) (i = 1,2,,n), respectively, and let fi: Xi-1 Xi be completely continuous on bounded convex closed subsets Xi-1,(i = 1,2,,n 0), such that fi() . Moreover, let us introduce n fuzzy-set-valued nonlinear mappings Fi: Xi-1 Xi {a family of all non-empty closed compact fuzzy subsets of Xi}. Here, we have a fixed point theorem on the recurrent system of β-level fuzzy-set-valued mapping equations: xi Fiβ(xi-1,fi(xi-1)), (i = 1,2,,n 0), where the fuzzy set Fi is characterized by a membership function µFi(xi): Xi [0,1], and the β-level set Fiβ of the fuzzy set Fi is defined as Fiβ i Xi | µFii) β}, for any constant β (0,1]. This theorem can be applied immediately to discussion for characteristics of ring nonlinear network systems disturbed by undesirable uncertain fluctuations and to fine estimation of available behaviors of those disturbed systems. In this paper, its mathematical situation and proof are discussed, in detail.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.9 pp.2256-2261
Publication Date
2003/09/01
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
Category
Neuro, Fuzzy, GA

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