A generalized fuzzy credibility-constrained linear fractional programming approach for optimal irrigation water allocation under uncertainty

摘要

Highlights?A generalized fuzzy credibility-constrained linear fractional programming approach is developed.?The approach is applied to Heihe River Basin in northwest China for irrigation water management.?A lower credibility level and higher weight coefficient corresponds to higher system efficiency.?The weight coefficient is a main factor compared with credibility level in system efficiency.AbstractThe vague and fuzzy parametric information is a challenging issue in irrigation water management problems. In response to this problem, a generalized fuzzy credibility-constrained linear fractional programming (GFCCFP) model is developed for optimal irrigation water allocation under uncertainty. The model can be derived from integrating generalized fuzzy credibility-constrained programming (GFCCP) into a linear fractional programming (LFP) optimization framework. Therefore, it can solve ratio optimization problems asso