Abstract
This paper presents an iterative method for solving a class of generalized quasi-variational-like inclusions with fuzzy mappings. The method employs step size controls that enable applications to problems where certain set-valued mappings do not always map to empty set. The algorithm also adopts the recently introduced (H,η)-monotone concept which unifies many known monotonicities. Thus generalized many existing results. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Zou, Y., & Huang, N. (2006). An iterative method for quasi-variational-like inclusions with fuzzy mappings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4062 LNAI, pp. 349–356). Springer Verlag. https://doi.org/10.1007/11795131_50
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