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Generalized vector complementarity problem in fuzzy environment
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DOI：10.1016/j.fss.2017.09.010.png)
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Abstract
En 中文
This paper is devoted to introduce and study a new class of generalized vector complementarity problems ((GVCP), for short) and generalized vector variational inequalities ((GVVI), for short) in fuzzy environment. Under suitable conditions, we prove the equivalence between (GVCP) and (GVVI) in Banach spaces. Then, without any monotonicity assumption, we apply KKM-technique to establish an existence theorem of solutions for (GVVI). Finally, we show that the solution set of (GVCP) is nonempty and closed. (c) 2017 Elsevier B.V. All rights reserved.
Keywords:
Generalized vector complementarity problem
KKM theorem
Generalized vector variational inequality
Fuzzy mapping
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