This paper provides a complete study on properties of symmetric gH-derivative. More
precisely, a necessary and sufficient condition for the symmetric gH-differentiability of …

The real-world production inventory systems involve uncertainties surrounding demand,
production, defectiveness, and costs, which pose significant challenges. Various …

In this article, we study calculus for gH-subdifferential of convex interval-valued functions
(IVFs) and apply it in a nonconvex composite model of an interval optimization problem …

In this article, the concepts of gH-subgradient and gH-subdifferential of interval-valued
functions are illustrated. Several important characteristics of the gH-subdifferential of a …

In this study, a gH-penalty method is developed to obtain efficient solutions to constrained
optimization problems with interval-valued functions. The algorithmic implementation of the …

Based on a given set of uncertain scenarios, robust optimization aims to determine the best
possible choices. The best solution in robust optimization is usually found by identifying the …

The purpose of this article is to give a new study to a simple one dimensional fuzzy free
boundary problem of the one-phase Stefan kind for a heat partial differential equation. The …

In this article, we study the notion of gH-Hadamard derivative for interval-valued functions
(IVFs) and apply it to solve interval optimization problems (IOPs). It is shown that the …

In this article, we introduce the idea of $ gH $-weak subdifferential for interval-valued
functions (IVFs) and show how to calculate $ gH $-weak subgradients. It is observed that a …

In this study, the constrained interval arithmetic (CIA) is used as an effective mathematical
tool for solving the stability analysis for interval two-dimensional semi-linear differential …