Robust Goal Programming
Robust Goal Programming is a goal programming approach that incorporates uncertainty sets or variability in parameters to ensure solution feasibility and performance across a range of plausible scenarios, thereby distinguishing itself from conventional goal programming methods by explicitly addressing data uncertainty and model robustness.
15
Publications
511
Citations
39
Authors
28
Institutions
Publications per year
2017–2026
10
Parents
15
Erfan Babaee Tırkolaee, Zahra Dashtian, Gerhard‐Wilhelm Weber et al. · Mathematics · 2021 · 83 citations · Full text
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Qazvin Islamic Azad University
Qazvin, Iran
2 h-index
3 publications
180 citations
Istinye University
Istanbul, Türkiye
2 h-index
2 publications
122 citations

Hebei University
Baoding, China
2 h-index
4 publications
260 citations

U.S. Air Force Institute of Technology
Dayton, United States
2 h-index
6 publications
144 citations

Kharazmi University
Tehran, Iran
2 h-index
2 publications
56 citations

Hebei Agricultural University
Baoding, China
2 h-index
2 publications
130 citations
Islamic Azad University, Bonab Branch
Bonāb, Iran
1 h-index
1 publications
14 citations

Sultan Qaboos University
Muscat, Oman
1 h-index
1 publications
39 citations
1–8 of 28
2 publications · 130 citations
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1 publications · 43 citations
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1 publications · 23 citations
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EJIE · 1 publications · 17 citations
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JDMS · 1 publications · 35 citations
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