Maximax Regret is a decision criterion in the theory of decision under ambiguity that belongs to the class of regret-based models, distinguished by its selection of the alternative which minimizes the maximum possible regret across all states of nature, thereby optimizing for the least worst deviation from optimal performance under uncertainty.
58
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4.1K
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105
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79
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Publications per year
2017–2026
17
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Publications
58
Regret theory with general choice sets
John Quiggin · Journal of Risk and Uncertainty · 1994 · 247 citations
Two-Stage Minimax Regret Robust Unit Commitment
Ruiwei Jiang, Jianhui Wang, Muhong Zhang et al. · IEEE Transactions on Power Systems · 2013 · 225 citations
1–5 of 58
Authors
105
- YW
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- PZ
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- EC
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- DV
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1–5 of 105
Institutions
79
Australian National University
Canberra, Australia
3 h-index
5 publications
417 citations
Wrocław University of Science and Technology
Wroclaw, Poland
3 h-index
6 publications
400 citations
Microsoft (United States)
Redmond, United States
3 h-index
3 publications
87 citations
Universidad de Sevilla
Seville, Spain
3 h-index
3 publications
87 citations
Data61
Sydney, Australia
2 h-index
4 publications
170 citations
Cornell University
Ithaca, United States
2 h-index
3 publications
155 citations
University of Kaiserslautern
Kaiserslautern, Germany
2 h-index
3 publications
78 citations
Tel Aviv University
Tel Aviv, Israel
2 h-index
2 publications
76 citations
1–8 of 79
Venues
- European Journal of Operational Research
8 publications · 961 citations
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- arXiv (Cornell University)
Repository · 4 publications · 134 citations
4
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- Journal of Economic Theory
JET · 3 publications · 691 citations
3
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- Fuzzy Optimization and Decision Making
2 publications · 41 citations
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- Computers & Operations Research
2 publications · 78 citations
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