An Approximation Method for Variational Inequality with Uncertain Variables
Cunlin Li,
Hongyu Zhang,
Rui Yuan,
Yee Hooi Min and
Tzu-Chien Yin
Advances in Mathematical Physics, 2023, vol. 2023, issue 1
Abstract:
In this paper, a Stieltjes integral approximation method for uncertain variational inequality problem (UVIP) is studied. Firstly, uncertain variables are introduced on the basis of variational inequality. Since the uncertain variables are based on nonadditive measures, there is usually no density function. Secondly, the expected value model of UVIP is established after the expected value is discretized by the Stieltjes integral. Furthermore, a gap function is constructed to transform UVIP into an uncertain constraint optimization problem, and the optimal value of the constraint problem is proved to be the solution of UVIP. Finally, the convergence of solutions of the Stieltjes integral discretization approximation problem is proved.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2023/5127277
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlamp:v:2023:y:2023:i:1:n:5127277
Access Statistics for this article
More articles in Advances in Mathematical Physics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().