Proximal point algorithm for a new class of fuzzy set-valued variational inclusions with (H,?)-monotone mappings

We introduced a new class of fuzzy set-valued variational inclusions with （H,η）-monotone mappings. Using the resolvent operator method in Hilbert spaces, we suggested a new proximal point algorithm for finding approximate solutions, which strongly converge to the exact solution of a fuzzy set-valued variational inclusion with （H,η）-monotone. The results improved and generalized the general quasi-variational inclusions with fuzzy set-valued mappings proposed by Jin and Tian Jin MM, Perturbed proximal point algorithm for general quasi-variational inclusions with fuzzy set-valued mappings, OR Transactions, 2005, 9（3）： 31-38, （In Chinese）; Tian YX, Generalized nonlinear implicit quasi-variational inclusions with fuzzy mappings, Computers ＆ Mathematics with Applications, 2001, 42： 101-108].