An Extended Two-stage Stochastic Programming Approach for Water Resources Management under Uncertainty

By Javad Nematian. 2015

70 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/d0b4d860b1034bb492b90f69670f8e16c7f5480d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Ping Guo
2. Qiong Yue
3. Yikuan Tang
4. Chenglong Zhang
5. Hua Zhu
6. Fan Zhang

In Ocean Engineering

1. Ping Guo
2. Qiong Yue
3. Yikuan Tang
4. Chenglong Zhang
5. Hua Zhu
6. Fan Zhang
7. Liangpei Zhang

In Water Science and Technology

1. Ping Guo
2. Qiong Yue
3. Yikuan Tang
4. Chenglong Zhang
5. Hua Zhu
6. Fan Zhang

Citations in the corpus

• A full fuzzy-interval credibility-constrained nonlinear programming approach for irrigation water allocation under uncertainty (2020, methodology): “To address different types of uncertainties, stochastic mathematical programming (SMP), interval parameter programming (IPP) and fuzzy mathematical programming (FMP) have been widely applied to the field of agricultural water management (Li et al., 2010; Lu et al., 2011; Nematian, 2016; Xie et al., ”