Robust parametric ${\mathbb {E}_{\mathbb {R}}}$-Karush–Kuhn–Tucker optimality criteria for fractional interval-valued optimization problems

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发表日期：

2025年5月26日

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Krishna Kummari,
Rekha R. Jaichander,
Savin Treanţă,
Cristina Florentina Pirje

摘要

This article focuses on a robust fractional interval-valued programming problem with data uncertainty (RFP) and its associated robust ${\mathbb {E}_{\mathbb {R}}}$ $E_{R}$ - fractional interval-valued programming problem with data uncertainty (ERFP). We establish the robust parametric ${\mathbb {E}_{\mathbb {R}}}$ $E_{R}$ -Karush–Kuhn–Tucker optimality criteria for (ERFP) involving ${\mathbb {E}_{\mathbb {R}}}$ $E_{R}$ -convexity assumptions. Finally, the sufficient optimality criteria are validated by a numerical example.

Robust parametric \({\mathbb {E}_{\mathbb {R}}}\)-Karush–Kuhn–Tucker optimality criteria for fractional interval-valued optimization problems

摘要