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 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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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. |
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| 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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| Cites_doi | 10.1007/978-94-015-8702-0 10.1016/0165-0114(93)90399-3 10.1016/0165-0114(87)90105-9 10.1007/s11269-005-9015-x 10.4236/jwarp.2009.14033 10.1016/0165-0114(95)00360-6 10.1016/0165-0114(78)90031-3 10.4236/jwarp.2010.26062 10.1016/S0165-0114(97)00304-7 10.1007/s11269-009-9538-7 10.1023/A:1011117918943 10.1016/j.fss.2005.12.003 |
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| References | Lee ES (CIT0007) 1993; 53 Nazemi AR (CIT0011) 2002; 2 Mirajkar AB (CIT0009) 2011; 17 Regulwar DG (CIT0012) 2009; 4 CIT0010 Sahoo B (CIT0014) 2006; 20 Werners B (CIT0016) 1987; 23 Choudhari SA (CIT0001) 2009; 24 Guu SM (CIT0004) 1999; 107 Li Xue-quan (CIT0008) 2006; 157 Srinivasa Raju K (CIT0015) 2000; 6 Klir GJ (CIT0006) 2007 Regulwar DG (CIT0013) 2010; 2 Guu SM (CIT0003) 1997; 85 Zimmermann HJ (CIT0018) 1996 Gasimov RN (CIT0002) 2002; 26 Jairaj PG (CIT0005) 2000; 14 Zimmermann HJ (CIT0017) 1978; 1 |
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| 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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