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Dive into the research topics where Gue Myung Lee is active.

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Featured researches published by Gue Myung Lee.


Applied Mathematics Letters | 1993

Generalized vector variational inequality and fuzzy extension

Gue Myung Lee; Do Sang Kim; Byung Soo Lee; Sung Jin Cho

Abstract A generalized vector variational inequality (GVVI) is considered. We establish the existence theorem for (GVVI) under assumptions of C -pseudomonotonicity and V -hemicontinuity. From our existence theorem, we obtain the fuzzy extension of a result of Chen and Yang.


Applied Mathematics Letters | 1996

Generalized vector variational inequality

Gue Myung Lee; Do Sang Kim; Byung-Soo Lee

A generalized vector variational inequality (GVVI) is considered. We establish the existence theorem for solutions of (GVVI) with H-convexity assumption. Our existence theorem extends that of Chen [1, Theorem 3.1] to the set-valued case.


Optimization | 1994

Duality for multiobjective programming involving n-set functions

C.L. Jo; Do Sang Kim; Gue Myung Lee

We formulate the Wolfe, Mond-Weir and generalized Mond-Weir types of dual problems for a multiobjective program involving vector valued n-set functions. By using the concept of efficiency (Pareto optimum) we prove the weak and strong duality theorems for a multiobjective program under generalized ρ-convexity assumptions.


Fuzzy Sets and Systems | 1997

Fixed degree and fixed point theorems for fuzzy mappings in probabilistic metric spaces

Shih-sen Chang; Yeol Je Cho; Byung Soo Lee; Gue Myung Lee

Abstract This paper introduces the concept and properties of fixed degrees for fuzzy mappings in probabilistic metric spaces. By virtue of this concept, some theorems about common fixed degree of a sequence of fuzzy mappings in probabilistic metric spaces are obtained. These new results are a unified approach to generalize several fixed point theorems for fuzzy mappings.


Optimization | 1994

Duality for multiobjective fractional programming involving n-set functions sup *

C.L. Jo; Do Sang Kim; Gue Myung Lee

For a multiobjective fractional programming problem (MFP) involving vector valued n-set functions, the dual problem (MFD) and the generalized dual problem (GMFD) are formulated and the concept of efficiency is used to prove the weak, strong and strict converse duality results between the associated parametric problem (MFP) λ and (MFD) under generalized ρ-convexity assumptions. Also, those duality results between (MFP) λ, and (GMFD) are obtained


Applied Mathematics Letters | 1997

Generalized trade-off directions in multiobjective optimization problems

Gue Myung Lee; H. Nakayama

Abstract In this brief paper, we define the generalized trade-off directions for a multiobjective optimization problem (MP), by using the contingent cone, and characterize the set of generalized trade-off directions for the problem (MP), by using the sensitivity results of Tanino [1].


Fuzzy Sets and Systems | 1999

Vector quasivariational inequalities for fuzzy mappings (II)

Shih-sen Chang; Gue Myung Lee; Byung Soo Lee

Abstract This paper is devoted to study the vector variational inequalities for fuzzy mappings. By using the Fan-Browder fixed point theorem, the selection theorem of Yannelis-Prabhakar [13] and the scalarization method of Luc [9,10], some existence theorems for our inequalities are proved.


Applied Mathematics Letters | 1998

SADDLE POINTS AND MINIMAX THEOREMS FOR VECTOR-VALUED MULTIFUNCTIONS ON H-SPACES

S.-S. Chang; George Xian-Zhi Yuan; Gue Myung Lee; Xiao-Lan Zhang

Abstract In this paper some existence theorems of loose saddle point, saddle point, and minimax problems for vector-valued multifunctions on H -spaces are proved. The results presented in this paper generalize some recent results in [1–4].


Fuzzy Sets and Systems | 1996

Strongly quasivariational inequalities for fuzzy mappings

Gue Myung Lee; Do Sang Kim; Byung Soo Lee

Abstract We consider a strongly quasivariational inequality problem for fuzzy mappings. A projection technique is used to suggest an iterative algorithm for finding the approximate solutions for our problem and prove that the approximate solution converges strongly to the exact solution for our problem.


Journal of Information and Optimization Sciences | 1995

Optimality for nonlinear programs containing n-set functions

Cheong Lai Jo; Do Sang Kim; Gue Myung Lee

Abstract Under the generalized (ℑ, ρ, θ)-convexity assumptions, we establish the sufficient optimality conditions for the nonlinear programs with vector-valued n-set functions on the inequality and equality constraints.

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Do Sang Kim

Pukyong National University

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Yeol Je Cho

Gyeongsang National University

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Cheong Lai Jo

Pukyong National University

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Sung Jin Cho

Pusan National University

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S.-S. Chang

University of Queensland

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