A novel multi-stage possibilistic stochastic programming approach (with an application in relief distribution planning)

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• 作者：B. Zahiri^a ; ^{behzadza@buffalo.edu} ; S.A. Torabi^b ; ^{satorabi@ut.ac.ir} ; R. Tavakkoli-Moghaddam^b ; ^{tavakoli@ut.ac.ir}
• 关键词：Multi-stage stochastic programming ; Fuzzy probabilities ; Random fuzzy variables ; Post-disaster relief distribution planning
• 刊名：Information Sciences
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：385-386
• 期：Complete
• 页码：225-249
• 全文大小：2824 K
• 卷排序：385

文摘

Proposing a novel multi-stage possibilistic stochastic programming approach. Considering fuzzy probabilities in the scenario tree's arcs. Accounting for deep uncertainty of SDPs at the early stages of the scenario tree through random fuzzy variables. Providing a real post-disaster relief distribution planning case study.