Abstract
This article focuses on optimality conditions for a robust fractional interval-valued optimization problem with uncertain inequality constraints (RNFIVP) based on convexificators. Using the tools of convexity, an example of sufficient optimality conditions is demonstrated. Robust parametric duality for (RNFIVP) is formulated and utilizing the concept of convexity, usual duality results between the primal and dual problems are investigated. Further, the equivalence between the saddle point criteria of a Lagrangian type function and a robust LU-optimal solution for (RNFIVP) with convexity is also examined.
Funder
The third author acknowledged the Interdisciplinary Research Center for Intelligent and Secure Systems, KFUPM for the support under the Grant no. INSS2209.
Subject
Management Science and Operations Research,Computer Science Applications,Theoretical Computer Science
Cited by
1 articles.
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