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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Vydáno v:ISH journal of hydraulic engineering Ročník 18; číslo 3; s. 232 - 240
Hlavní autoři: Mirajkar, A.B., Patel, P.L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Taylor & Francis Group 01.09.2012
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ISSN:0971-5010, 2164-3040, 2164-3040
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Abstract 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.
AbstractList 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.
Author Patel, P.L.
Mirajkar, A.B.
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  organization: Department of Civil Engineering , Sardar Vallabhbhai National Institute of Technology
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StartPage 232
SubjectTerms algorithms
case studies
compromise solution
employment
India
irrigation
linear programming
maximum-minimum operators
multi-objective linear programming
planning
satisfaction degree
two-phase approach
Title Optimal irrigation planning using multi-objective fuzzy linear programming models
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