Incomplete information imputation in limited data environments with application to disaster response

DOI10.1016/j.ejor.2018.02.016zbMath1388.90084OpenAlexW2792871148MaRDI QIDQ1750457

Kezban Yagci Sokat, Ryan Bank, Irina S. Dolinskaya, Karen R. Smilowitz

Publication date: 22 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2018.02.016

zbMATH Keywords

imputationincomplete informationhumanitarian logisticslimited data2010 Haiti earthquake

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Case-oriented studies in operations research (90B90)

Related Items (2)

OR applied to humanitarian operations ⋮ Multi-agent reinforcement learning algorithm to solve a partially-observable multi-agent problem in disaster response

Uses Software

• Optimization Toolbox
• OpenStreetMap
• ELER

Cites Work

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• The Post-Disaster Debris Clearance Problem Under Incomplete Information
• A two-stage stochastic programming framework for transportation planning in disaster response
• Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories
• Humanitarian aid logistics: supply chain management in high gear
• Data Mining and Knowledge Discovery Handbook

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