Threshold-based Decision Rules
Threshold-Based Decision Rules is a decision-making framework that specifies choices or actions based on whether key variables or metrics exceed or meet predetermined thresholds, distinguishing it from other decision rules by its reliance on explicit, often quantifiable, boundary conditions to trigger decisions.
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Publications
1.9K
Citations
142
Authors
81
Institutions
Publications per year
2017–2026
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Reject option with multiple thresholds
Giorgio Fumera, Fabio Roli, Giorgio Giacinto · Pattern Recognition · 2000 · 170 citations
Autonomic resource provisioning for cloud-based software
Pooyan Jamshidi, Aakash Ahmad, Claus Pahl · 2014 · 145 citations
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London School of Economics and Political Science, United Kingdom
2 publications · 71 citations
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Stanford University
Stanford, United States
3 h-index
8 publications
367 citations
ETH Zurich
Zurich, Switzerland
2 h-index
10 publications
355 citations
University of California, Santa Barbara
Santa Barbara, United States
2 h-index
2 publications
71 citations
Louisiana State University
Baton Rouge, United States
2 h-index
3 publications
268 citations

Cornell University
Ithaca, United States
2 h-index
2 publications
44 citations
London School of Economics and Political Science
London, United Kingdom
2 h-index
2 publications
71 citations

Université Paris Dauphine-PSL
Paris, France
2 h-index
3 publications
302 citations
Digital Research Centre of Sfax
Sfax, Tunisia
1 h-index
3 publications
150 citations
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2 publications · 46 citations
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Repository · 2 publications · 25 citations
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MDM · 2 publications · 62 citations
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2 publications · 58 citations
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1 publications · 119 citations
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