Robust interval linear programming for environmental decision making under uncertainty
作者： Y. R. Fan , G. H. Huang , Y. P. Li
DOI: 10.1080/0305215X.2011.649746
关键词:
摘要: In this study, a robust interval linear programming (RILP) method is developed for dealing with uncertainties expressed as intervals deterministic boundaries. An enhanced two-step (ETSM) also advanced to solve the RILP model. The improves upon conventional (ILP) since it can generate solution within larger feasible zone. decision space based on ETSM contains all solutions, such that no useful information neglected. Moreover, guarantee stability of optimization model due violation best-case constraints. results suggest effective practical environmental and engineering problems involve uncertainties.
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