Abstract
This paper presents a decentralized multi-objective bi-level model for water resources planning, in the upper level of the model, the regional authority as the leader determines to allocate how much water to each sub-area to maximize equity and minimize the environmental pollution, and then the sub-areas in the lower level make decisions on allocating water to water sectors based on different allocation principles with the analysis of relationship between supply and demand to maximize the benefits. In the decision making process, fuzzy random environment is considered to describe the internal uncertainty, an expected value operator is used to deal with the fuzzy random variables. Finally, a case study is used to verify the applicability of the proposed model.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes on Multidisciplinary Industrial Engineering |
| Publisher | Springer Nature |
| Pages | 902-911 |
| Number of pages | 10 |
| DOIs | |
| State | Published - 2018 |
| Externally published | Yes |
Publication series
| Name | Lecture Notes on Multidisciplinary Industrial Engineering |
|---|---|
| Volume | Part F43 |
| ISSN (Print) | 2522-5022 |
| ISSN (Electronic) | 2522-5030 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- Bi-level programming
- Equity
- Fuzzy random variable
- Sustanability
- Water resources allocation
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