Inexact credibility constrained programming for environmental system management
This study proposed an inexact credibility constrained programming (ICCP) to deal with multi-formats of uncertainties in parameters and variables for an agricultural water planning system. The study system includes three subareas with different crop distributions. The redundant water in the wet seas...
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| Published in: | Resources, conservation and recycling Vol. 55; no. 4; pp. 441 - 447 |
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| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.02.2011
Elsevier |
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| ISSN: | 0921-3449, 1879-0658 |
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| Abstract | This study proposed an inexact credibility constrained programming (ICCP) to deal with multi-formats of uncertainties in parameters and variables for an agricultural water planning system. The study system includes three subareas with different crop distributions. The redundant water in the wet season can be stored in the reservoir and utilized in the dry season. The ICCP method can reflect not only inexact uncertainties in the objective function, variables and parameters, but also fuzzy uncertainties in the right-hand side. Interval credibility levels which represent satisfaction degrees of the constraints can be analyzed. Scenario analysis is conducted to analyze possible events in wet and dry years. The resulting solutions can provide stable intervals for the objective function and decision variables with different levels of risk when violating the constraints. |
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| AbstractList | This study proposed an inexact credibility constrained programming (ICCP) to deal with multi-formats of uncertainties in parameters and variables for an agricultural water planning system. The study system includes three subareas with different crop distributions. The redundant water in the wet season can be stored in the reservoir and utilized in the dry season. The ICCP method can reflect not only inexact uncertainties in the objective function, variables and parameters, but also fuzzy uncertainties in the right-hand side. Interval credibility levels which represent satisfaction degrees of the constraints can be analyzed. Scenario analysis is conducted to analyze possible events in wet and dry years. The resulting solutions can provide stable intervals for the objective function and decision variables with different levels of risk when violating the constraints. |
| Author | Zhang, Yi Mei Huang, Guo He |
| Author_xml | – sequence: 1 givenname: Yi Mei surname: Zhang fullname: Zhang, Yi Mei email: yimei.zhang1@gmail.com organization: Environmental Systems Engineering Program, Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan, Canada S4S 0A2 – sequence: 2 givenname: Guo He surname: Huang fullname: Huang, Guo He email: huangg@uregina.ca, huang.guohe@gmail.com organization: Environmental Systems Engineering Program, Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada S4S 0A2 |
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| Keywords | Water conversation Interval programming Agricultural Reservoir Water resource Fuzzy Credibility Uncertainty Objective function Planning Water resources |
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| SubjectTerms | Agricultural agricultural land agricultural watersheds Applied sciences Credibility dry season environmental programs Exact sciences and technology Fuzzy fuzzy logic Interval programming planning Pollution recycling Reservoir risk water conservation Water conversation Water resource water utilization wet season |
| Title | Inexact credibility constrained programming for environmental system management |
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