An extended multi-objective mixed integer programming for water resources management through possibility theory

In this study, we develop an extended multi-objective mixed integer programming (EMOMIP) approach for water resources management under uncertainty, in which the parameters are fuzzy random variables while the decision variables are interval variables. Furthermore, some alternatives are considered to...

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Veröffentlicht in:	Ecological informatics Jg. 54; S. 100992
Hauptverfasser:	Nematian, Javad, Movahhed, Sevda Rezazadeh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2019
Schlagworte:	decision making Mixed integer programming Multi-objective programming Possibility theory uncertainty water allocation Water resources management Mixed integer programming Possibility theory Water resources management Multi-objective programming
ISSN:	1574-9541
Online-Zugang:	Volltext
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