Factorial Two-Stage Irrigation System Optimization Model

摘要: AbstractThis study proposes a factorial two-stage irrigation system optimization model (FTIM) for supporting agricultural water-resource management under uncertainty. The FTIM incorporates fractional design, stochastic programming (TSP), interval linear (ILP), and probability is applied to water allocation. can take full advantage of conventional approaches tackle uncertainties presented as intervals, investigate potential interactions among input parameters their influences on performance, enhance applicability dual expressed probabilities. proposed approach the first time hypothetical case resource allocation in an problem. results indicate that effects objective function are evaluated quantitatively, which help decision makers screen out significant pa...