Optimal irrigation planning using multi-objective fuzzy linear programming models

Crisp linear programming approach has been used to get the individual solutions of three conflicting objectives: maximisation of net benefit, maximisation of employment generation and minimisation of cost of cultivation. These crisp solutions were, then, solved together to obtain the solution under...

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Veröffentlicht in:ISH journal of hydraulic engineering Jg. 18; H. 3; S. 232 - 240
Hauptverfasser: Mirajkar, A.B., Patel, P.L.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Taylor & Francis Group 01.09.2012
Schlagworte:
algorithms
case studies
compromise solution
employment
India
irrigation
linear programming
maximum-minimum operators
multi-objective linear programming
planning
satisfaction degree
two-phase approach
India
ISSN:0971-5010, 2164-3040, 2164-3040
Online-Zugang:Volltext
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Zusammenfassung:Crisp linear programming approach has been used to get the individual solutions of three conflicting objectives: maximisation of net benefit, maximisation of employment generation and minimisation of cost of cultivation. These crisp solutions were, then, solved together to obtain the solution under fuzzy multi-objective environment with maximum-minimum operators. Also, an effort has been made to improve the solution from maximum-minimum operator approach using two-phase as well as compromised fuzzy approaches. The applicability of the aforesaid algorithms were demonstrated through a case study of Kakrapar Right Bank Main Canal (KRBMC) under Ukai command area in India.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0971-5010
2164-3040
2164-3040
DOI:10.1080/09715010.2012.721661