Guohe Huang

TL;DR: A novel two-stage fuzzy stochastic programming approach capable of addressing uncertainties with both possibility and probability distribution is developed for water resources management problems under water-energy nexus to provide managerial insights and suggestions for decision makers to achieve flexible water management.

TL;DR: An evaluation-classification-downscaling-based climate projection (ECDoCP) framework is developed to fill a methodological gap of general circulation models (GCMs)-driven statistical downscaling based climate projections.

TL;DR: In this paper, a simulation-based interval-fuzzy nonlinear programming (SIFNP) approach was developed for seasonal planning of stream water quality management, and the results indicated that SIFNP could effectively communicate dual uncertainties into the optimization process and help decision makers to identify desired options under various complexities of system components.

TL;DR: In this paper, a duality theorem-based algorithm (DTA) for inexact quadratic programming (IQP) is developed for municipal solid waste (MSW) management under uncertainty.

TL;DR: In this paper, a fuzzy-queue-based interval linear programming (FQ-ILP) model was first developed through introducing FQ model into an ILP framework, which can not only address system uncertainties with complex presentations, but also reflect the influence of FQ in decision-making problems.