[[abstract]]In this study, we discuss one type of variational inequality problem with a fuzzy convex cone qq, denoted by VI(qq, f). Different classes of fuzzy convex cones which are considered in different context of the problems will be discussed. According to the existence theorem, an approach derived from the concepts of multiple objective mathematical programming problems for solving the VI(qq, f) is proposed. An algorithm is developed to find its fuzzy optimal solution set with complexity analysis.[[fileno]]2020402010024[[department]]工工
AbstractSince almost all practical problems are fuzzy and approximate, fuzzy decision making becomes...
Abstract. We consider the problem of approximating the solution of variational problems subject to t...
AbstractThe notion of convexity and its various generalization is important for quantitative and qua...
[[abstract]]A solution concept for fuzzy multiobjective programming problems based on ordering cones...
[[abstract]]In this study, we consider the equivalence between a Generalized Complementarity Problem...
Convex and non-convex fuzzy mappings are well known to be important in the research of fuzzy optimiz...
The existing results on the variational inequality problems for fuzzy mappings and their application...
In convex optimization we can get both global and local solutions to different classes of problems. ...
Abstract. Optimization is a procedure of finding and comparing feasible solutions until no better so...
Fuzzy variational problems have received significant attention over the past decade due to a number ...
Fuzzy variational problems have received significant attention over the past decade due to a number ...
This paper provides some new characterizations of the solution sets for non-differentiable generaliz...
In this paper, we consider nonlinear variational inequality problems with fuzzy variables. The fuzzy...
It is a familiar fact that convex and non-convex fuzzy mappings play a critical role in the study of...
AbstractIn this paper, the notions of subgradient, subdifferential, and differential with respect to...
AbstractSince almost all practical problems are fuzzy and approximate, fuzzy decision making becomes...
Abstract. We consider the problem of approximating the solution of variational problems subject to t...
AbstractThe notion of convexity and its various generalization is important for quantitative and qua...
[[abstract]]A solution concept for fuzzy multiobjective programming problems based on ordering cones...
[[abstract]]In this study, we consider the equivalence between a Generalized Complementarity Problem...
Convex and non-convex fuzzy mappings are well known to be important in the research of fuzzy optimiz...
The existing results on the variational inequality problems for fuzzy mappings and their application...
In convex optimization we can get both global and local solutions to different classes of problems. ...
Abstract. Optimization is a procedure of finding and comparing feasible solutions until no better so...
Fuzzy variational problems have received significant attention over the past decade due to a number ...
Fuzzy variational problems have received significant attention over the past decade due to a number ...
This paper provides some new characterizations of the solution sets for non-differentiable generaliz...
In this paper, we consider nonlinear variational inequality problems with fuzzy variables. The fuzzy...
It is a familiar fact that convex and non-convex fuzzy mappings play a critical role in the study of...
AbstractIn this paper, the notions of subgradient, subdifferential, and differential with respect to...
AbstractSince almost all practical problems are fuzzy and approximate, fuzzy decision making becomes...
Abstract. We consider the problem of approximating the solution of variational problems subject to t...
AbstractThe notion of convexity and its various generalization is important for quantitative and qua...