Convergence of solutions to a class of mixed nonlinear variational inclusion for fuzzy mappings

Jiangrong Liu, Hua Yang, Feng Jiang
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Abstract

We introduce a class of mixed nonlinear variational inclusion for fuzzy mappings in Hilbert spaces. By using the resolvent operator technique for maximal monotone mapping, we construct some new iterative algorithms for solving this class of variational inclusions. We prove the existence of solution for this kind of variational inclusions and the convergence of iterative sequences generalized by the algorithms in Hilbert spaces.
一类模糊映射的混合非线性变分包含解的收敛性
引入了Hilbert空间中模糊映射的一类混合非线性变分包含。利用极大单调映射的解析算子技术,构造了求解这类变分包含的迭代算法。证明了这类变分包含的解的存在性和算法推广的迭代序列在Hilbert空间中的收敛性。
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