作者: Qing Hu , Guohe Huang , Zhenfang Liu , Yurui Fan , Wei Li
DOI: 10.1007/S00477-011-0503-7
关键词: Water resources 、 Process (engineering) 、 Mathematical optimization 、 Linear programming 、 Probabilistic logic 、 Stochastic programming 、 Mathematics 、 Randomness 、 Fuzzy logic 、 Computational intelligence
摘要: A standard lower-side attainment values based inexact fuzzy two-stage programming (SLA-IFTSP) approach is proposed for supporting multi-water resources management under multi-uncertainties. The method improves upon the existing stochastic by introduction of a average linear programming. Multi-uncertainties such as intervals, probabilistic and/or possibilistic distributions and their combinations in water can be directly communicated into allocation process. risk infeasibility caused random availabilities analyzed imposing economic penalties when designed allocations would not satisfied after occurrence seasonal flows. Based on index, relationships representing various subjective judgments model transformed corresponding deterministic ones without additional constraints, thus guarantee higher computational efficiency. hypothetical case regarding two-source adopted demonstrating its applicability. Reasonable solutions have been generated. They provide desired with maximized system benefit different availability levels. intervals probabilities used generating decision alternatives. Comparisons between from SLA-IFTSP those ITSP are also undertaken. show that generate more reasonable patterns net benefits than ITSP.