Irrigation Planning Under Uncertainty--A Multi Objective Fuzzy Linear Programming Approach

The problem of irrigation planning becomes more complex by considering an uncertainty. The uncertainties can be tackled by formulating the problem of irrigation planning as Fuzzy Linear Programming (FLP). FLP models can incorporate the scenario of real world problem. In the present study, Multi Obje...

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Veröffentlicht in:	Water resources management Jg. 25; H. 5; S. 1387 - 1416
Hauptverfasser:	Regulwar, Dattatray G, Gurav, Jyotiba B
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Dordrecht : Springer Netherlands 01.03.2011 Springer Netherlands Springer Springer Nature B.V
Schlagworte:	Atmospheric Sciences basins Case studies Civil Engineering Cropping systems Crops Decision making Earth and Environmental Science Earth Sciences Earth, ocean, space employment Engineering schools Environment Exact sciences and technology Fuzzy Fuzzy logic Fuzzy set theory Fuzzy sets Genetic algorithms Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrology Hydrology. Hydrogeology Hydrology/Water Resources India Irrigation labor Linear programming Manures Mathematical models Multi objective fuzzy linear programming Objectives Optimal cropping pattern Optimization planning Production planning Random variables Resource availability Resource management River basins rivers Studies Uncertainty Water resources Water resources management Water shortages Godavari River Asia Maharashtra India Indian Peninsula India Optimal cropping pattern Linear programming Uncertainty Multi objective fuzzy linear programming models planning fuzzy sets irrigation water resources water resource management linear programming case studies
ISSN:	0920-4741, 1573-1650
Online-Zugang:	Volltext
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