Chance-Constrained Models is a mathematical optimization framework that belongs to the class of stochastic programming models and specifically incorporates probabilistic constraints to ensure that the solution satisfies certain resource or capacity limits with a predefined minimum probability, thereby explicitly managing the risk of overbooking under uncertainty.
632
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2017–2026
249
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632
Chance-Constrained Programming
A. Charnes, W. W. Cooper · Management Science · 1959 · 2.7K citations
Chance constrained programming with fuzzy parameters
Baoding Liu, Kakuzo Iwamura · Fuzzy Sets and Systems · 1998 · 661 citations
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Tsinghua University
Beijing, China
22 h-index
62 publications
4.6K citations
North China Electric Power University
Beijing, China
19 h-index
68 publications
2.5K citations
University of Regina
Regina, Canada
18 h-index
42 publications
2.2K citations
University of Michigan
Ann Arbor, United States
13 h-index
20 publications
515 citations
Georgia Institute of Technology
Atlanta, United States
13 h-index
22 publications
1.5K citations
Northwestern University
Evanston, United States
13 h-index
20 publications
1.8K citations
Beijing Jiaotong University
Beijing, China
12 h-index
30 publications
916 citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
23 publications
1.4K citations
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- IEEE Transactions on Power Systems
37 publications · 3.7K citations
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- Operations Research
22 publications · 2.4K citations
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- European Journal of Operational Research
15 publications · 813 citations
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- Management Science
16 publications · 3.5K citations
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- Mathematical Programming
16 publications · 1.8K citations
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