Yeol Je Cho
Gyeongsang National University
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Featured researches published by Yeol Je Cho.
Computers & Mathematics With Applications | 2004
Yeol Je Cho; Haiyun Zhou; Ginti Guo
Abstract In the present paper, several weak and strong convergence theorems are established for the three-step iterative schemes with errors for asymptotically nonexpansive mappings. Our results extend and improve the recent ones announced by Tan and Xu, Xu and Noor, and many others.
Fuzzy Sets and Systems | 1998
Yeol Je Cho; H. K. Pathak; Shin Min Kang; Jong Soo Jung
Abstract The purpose of this paper is to obtain some common fixed point theorems for compatible maps of type (β) on fuzzy metric spaces. Our results extend, generalize and fuzzify several fixed point theorems on metric spaces, Menger probabilistic metric spaces, uniform spaces and fuzzy metric spaces.
Computers & Mathematics With Applications | 2006
Heng-you Lan; Yeol Je Cho; Ram U. Verma
In this paper, we introduce a new concept of (A, @h)-accretive mappings, which generalizes the existing monotone or accretive operators. We study some properties of (A, @h)-accretive mappings and define resolvent operators associated with (A, @h)-accretive mappings. By using the new resolvent operator technique, we also construct a new perturbed iterative algorithm with mixed errors for a class of nonlinear relaxed Cocoercive variational inclusions involving (A, @h)-accretive mappings and study applications of (A, @h)-accretive mappings to the approximation-solvability of this class of nonlinear relaxed Cocoercive variational inclusions in q-uniformly smooth Banach spaces. Our results improve and generalize the corresponding results of recent works.
Applied Mathematics Letters | 2000
Ravi P. Agarwal; Yeol Je Cho; Nan-jing Huang
Abstract In this paper, we use the implicit resolvent operator technique to study the sensitivity analysis for strongly nonlinear quasi-variational inclusions. Our results improve and generalize some of the recent ones.
Applied Mathematics Letters | 2009
Xiaolong Qin; Yeol Je Cho; Shin Min Kang; Haiyun Zhou
The purpose of this work is to modify the Halpern-type iteration algorithm to have strong convergence under a limit condition only in the framework of Banach spaces. The results presented in this work improve on the corresponding ones announced by many others.
European Journal of Operational Research | 2011
Yonghong Yao; Yeol Je Cho; Yeong-Cheng Liou
In this paper, we present an iterative algorithm for finding a common element of the set of solutions of a mixed equilibrium problem and the set of fixed points of an infinite family of nonexpansive mappings and the set of a variational inclusion in a real Hilbert space. Furthermore, we prove that the proposed iterative algorithm has strong convergence under some mild conditions imposed on algorithm parameters.
Fixed Point Theory and Applications | 2012
Yeol Je Cho; B. E. Rhoades; Reza Saadati; Bessem Samet; Wasfi Shatanawi
In this article, we study coupled coincidence and coupled common fixed point theorems in ordered generalized metric spaces for nonlinear contraction condition related to a pair of altering distance functions. Our results generalize and modify several comparable results in the literature.2000 MSC: 54H25; 47H10; 54E50.
Journal of Applied Mathematics and Computing | 2006
Duran Turkoglu; Cihangir Alaca; Yeol Je Cho; Cemil Yildiz
The purpose of this paper, using the idea of intuitionistic fuzzy set due to Atanassov [2], we define the notion of intuitionistic fuzzy metric spaces (see, [1]) due to Kramosil and Michalek [17] and Jungck’s common fixed point theorem ([11]) is generalized to intuitionistic fuzzy metric spaces. Further, we first formulate the definition of weakly commuting and R-weakly commuting mappings in intuitionistic fuzzy metric spaces and prove the intuitionistic fuzzy version of Pant’s theorem ([21]).
Fuzzy Sets and Systems | 1997
Shih-sen Chang; Yeol Je Cho; Byung-Soo Lee; Jong Soo Jung; Shin Min Kang
Abstract In this paper, some new versions of coincidence point theorems and minimization theorems for single-valued and multi-valued mappings in generating spaces of the quasi-metric family are obtained. As applications, we utilize our main theorems to prove coincidence point theorems, fixed point theorems and minimization theorems for single-valued and multi-valued mappings in fuzzy metric spaces and probabilistic metric spaces.
Fixed Point Theory and Applications | 2011
Wutiphol Sintunavarat; Yeol Je Cho; Poom Kumam
Recently, Gordji et al. [Math. Comput. Model. 54, 1897-1906 (2011)] prove the coupled coincidence point theorems for nonlinear contraction mappings satisfying commutative condition in intuitionistic fuzzy normed spaces. The aim of this article is to extend and improve some coupled coincidence point theorems of Gordji et al. Also, we give an example of a nonlinear contraction mapping which is not applied by the results of Gordji et al., but can be applied to our results.2000 MSC: primary 47H10; secondary 54H25; 34B15.