Parametric rough bi-level multi-objective fractional programming problems

<p>The parametric rough bi-level multi-objective fractional programming problem (PRBL-MOFPP) is investigated in this article. In the right-hand aspect of the rough set of constraints, the suggested PRBL-MOFPP has a scalar parameter. The PRBL-MOFPP is converted into two issues congruent to the upper and lower approximation models (UAM and LAM) in the first phase. Both UAM and LAM are solved using the fuzzy goal programming (FGP) technique. The parametric UAM and LAM were formulated in the second phase, and the Lagrangian function for UAM and LAM was derived. Furthermore, both models were subjected to Karush-Kuhn-Tucker (KKT) optimality conditions. Finally, the surely and possibly stable set of the first kind (SSFK) are studied. An algorithm for determining the SSFK for PRBL-MOFPP, as well as numerical examples, are exhibited.<strong></strong></p><p> </p>

Authors

Institutions

Publication Details

Journal
Mathematics and Systems Science
Published
2025-03-20
DOI
https://doi.org/10.54517/mss3095
Primary Topic
Optimization and Mathematical Programming
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Parametric rough bi-level multi-objective fractional programming problems

Mohamed A. El Sayed, F. A. Farahat, M. A. Elsisy, Elsayed Metwalli Badr et al.
Mathematics and Systems Science
Optimization and Mathematical Programming
article

Parametric rough bi-level multi-objective fractional programming problems

Mohamed A. El Sayed, F. A. Farahat, M. A. Elsisy, Elsayed Metwalli Badr, Y. Abo-Elnaga
article en

Abstract

<p>The parametric rough bi-level multi-objective fractional programming problem (PRBL-MOFPP) is investigated in this article. In the right-hand aspect of the rough set of constraints, the suggested PRBL-MOFPP has a scalar parameter. The PRBL-MOFPP is converted into two issues congruent to the upper and lower approximation models (UAM and LAM) in the first phase. Both UAM and LAM are solved using the fuzzy goal programming (FGP) technique. The parametric UAM and LAM were formulated in the second phase, and the Lagrangian function for UAM and LAM was derived. Furthermore, both models were subjected to Karush-Kuhn-Tucker (KKT) optimality conditions. Finally, the surely and possibly stable set of the first kind (SSFK) are studied. An algorithm for determining the SSFK for PRBL-MOFPP, as well as numerical examples, are exhibited.<strong></strong></p><p> </p>

Mathematics and Systems ScienceVol. 3(1)
Higher Technological Institute (EG), Benha University (EG), Badr University in Cairo (EG)
Openalex Percentile: Top 95%
Optimization and Mathematical Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.