Convergence analysis of solution sets for fuzzy optimization problems
https://doi.org/10.1016/j.cam.2019.112615Publisher, magazine: ,
Publication year: 2020
Lưu Trích dẫn Chia sẻAbstract
In this paper, we first consider fuzzy optimization problem (in short, (FOP)) and sequences of fuzzy optimization problems (in short, (FOP)). Then we establish the concept of -convergence of a sequence of fuzzy mappings and its characterizations. Finally, the Painlevé–Kuratowski lower convergence and the Painlevé–Kuratowski convergence of approximate solution sets for these problems are proposed using -convergence of a sequence of fuzzy mappings. Some examples are provided to illustrate the essentialness of the imposed assumptions.
Tags: fuzzy optimization problems; fuzzy mappings; approximate solution; the Painlevé-Kuratowski convergence; the D-convergence
Các bài viết liên quan đến tác giả Nguyen Van Hung
Gap Functions and Error Bounds for Variational–Hemivariational Inequalities
Global error bounds for mixed Quasi-Hemivariational inequality problems on Hadamard manifolds
Stability of solution mappings for parametric bilevel vector equilibrium problems