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"Dice"-sion–making under uncertainty : when can a random decision reduce risk?

Delage, Erick; Kuhn, Daniel; Wiesemann, Wolfram - In: Management science : journal of the Institute for … 65 (2019) 7, pp. 3282-3301

Persistent link: https://www.econbiz.de/10012039992

Influence modeling : mathematical programming representations of persuasion under either risk or uncertainty

Caballero, William N.; Lunday, Brian J. - In: European journal of operational research : EJOR 278 (2019) 1, pp. 266-282

Persistent link: https://www.econbiz.de/10012102610

Optimizing sequential decision-making under risk : strategic allocation with switching penalties

Malekipirbazari, Milad - In: European journal of operational research : EJOR 321 (2025) 1, pp. 160-176

Persistent link: https://www.econbiz.de/10015094944

Decision rule approximations for the risk averse reservoir management problem

Gauvin, Charles; Delage, Erick; Gendreau, Michel - In: European journal of operational research : EJOR 261 (2017) 1, pp. 317-336

Persistent link: https://www.econbiz.de/10011765029

Decision making under uncertainty : a semiinfinite programming approach

Weber, R. - 1982

Persistent link: https://www.econbiz.de/10002986346

A General Solution for Linear Decision Rules : An Optimal Dynamic Strategy Applicable Under Uncertainty

Hay, George Alan - 2023

Linear decision rules for controlling complex systems are often obtained by matrix inversion, but transform methods … offer an alternative approach that yields insights into the structure of the decision problem of maximizing expected payoffs …

Persistent link: https://www.econbiz.de/10014344822

Multistage adjustable robust mixed-integer optimization via iterative splitting of the uncertainty set

Postek, Kryzsztof; Hertog, Dirk den - In: INFORMS journal on computing : JOC 28 (2016) 3, pp. 553-574

Persistent link: https://www.econbiz.de/10011539037

Affinely adjustable robust model for multiperiod production planning under uncertainty

Kim, Byung Soo; Chung, Byung Do - In: IEEE transactions on engineering management : EM 64 (2017) 4, pp. 505-514

Persistent link: https://www.econbiz.de/10011773106

The decision rule approach to optimization under uncertainty : methodology and applications

Georghiou, Angelos; Kuhn, Daniel; Wiesemann, Wolfram - In: Computational Management Science : CMS 16 (2019) 4, pp. 545-576

Persistent link: https://www.econbiz.de/10012126678

Scenario-based robust optimization for two-stage decision making under binary uncertainty

Wang, Kai; Aydemir, Mehmet; Jacquillat, Alexandre - In: INFORMS journal on optimization 6 (2024) 2, pp. 84-117

Persistent link: https://www.econbiz.de/10014555583