Consensus modeling with asymmetric cost based on data-driven robust optimization

S Qu, Y Han, Z Wu, H Raza - Group Decision and Negotiation, 2021 - Springer
The robust optimization method has progressively become a research hot spot as a valuable
means for dealing with parameter uncertainty in optimization problems. Based on the …

Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization

S Qu, Y Han, Z Wu, H Raza - Group Decision and Negotiation, 2021 - ideas.repec.org
The robust optimization method has progressively become a research hot spot as a valuable
means for dealing with parameter uncertainty in optimization problems. Based on the …

Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization

S Qu, Y Han, Z Wu, H Raza - Group Decision and Negotiation, 2021 - econpapers.repec.org
The robust optimization method has progressively become a research hot spot as a valuable
means for dealing with parameter uncertainty in optimization problems. Based on the …

Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization

Q Shaojian, H Yefan, Z Wu… - Group Decision and …, 2021 - search.proquest.com
The robust optimization method has progressively become a research hot spot as a valuable
means for dealing with parameter uncertainty in optimization problems. Based on the …

Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization.

S Qu, Y Han, Z Wu, H Raza - Group Decision & Negotiation, 2021 - search.ebscohost.com
The robust optimization method has progressively become a research hot spot as a valuable
means for dealing with parameter uncertainty in optimization problems. Based on the …