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Dependent-Chance Goal Programming for Water Resources Management under Uncertainty
Joint Authors
Guo, Haiying
Shi, Honghua
Wang, Xiaosheng
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-25
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Without sufficient data, consulting experts is a good way to quantify unknown parameters in water resources management which will result in human uncertainty.
The aim of this paper is to introduce a new tool-uncertainty theory to deal with such uncertainty which is treated as uncertain variable with uncertainty distribution.
And a dependent-chance goal programming (DCGP) model is provided for water resources management under such circumstance.
In the model uncertain measure is used to measure possibility that an event will occur which is maximized by minimizing the deviation (positive or negative deviation) from target of objective event under a given priority structure.
In the end, the developed model is applied to a numerical example to illustrate the effectiveness of the model.
The result obtained contributes to the desired water-allocation schemes for decision-markers.
American Psychological Association (APA)
Guo, Haiying& Shi, Honghua& Wang, Xiaosheng. 2016. Dependent-Chance Goal Programming for Water Resources Management under Uncertainty. Scientific Programming،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118145
Modern Language Association (MLA)
Guo, Haiying…[et al.]. Dependent-Chance Goal Programming for Water Resources Management under Uncertainty. Scientific Programming No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1118145
American Medical Association (AMA)
Guo, Haiying& Shi, Honghua& Wang, Xiaosheng. Dependent-Chance Goal Programming for Water Resources Management under Uncertainty. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1118145
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118145