An Inexact Fuzzy Optimization Programming with Hurwicz Criterion (IFOPH) for Sustainable Irrigation Planning in Arid Region

2014 ◽  
Author(s):  
Zeng Xueting ◽  
Yongping Li
Keyword(s):  
Arid Region ◽  
Fuzzy Optimization ◽  
Irrigation Planning ◽  
Sustainable Irrigation ◽  
Hurwicz Criterion ◽  
Optimization Programming

scholarly journals Multi-objective fuzzy optimization for sustainable irrigation planning

2020 ◽  
Vol 3 (1) ◽  
pp. 373-389 ◽  
Author(s):  
Jyotiba B. Gurav ◽  
D. G. Regulwar
Keyword(s):  
Crop Production ◽  
Fuzzy Optimization ◽  
Fuzzy Linear Programming ◽  
Cropping Pattern ◽  
Irrigation Planning ◽  
Multi Objective ◽  
Function Coefficient ◽  
Decision Variables ◽  
Optimal Cropping ◽  
Sustainable Irrigation

Abstract The objective of the present work is to determine an optimal cropping pattern under uncertainty, which maximizes four objectives simultaneously, including net benefits (NBF), crop production (CPD), employment generation (EGN) and manure utilization (MUT). Except the objective of maximizing the NBF, the other objectives are related to sustainability. To deal with uncertainty, a multi-objective fuzzy linear programming (MOFLP) model has developed along with fuzziness in decision parameters (objective function coefficient, cost coefficients, technological coefficients and resources) and decision variables (area to be irrigated under each crop in each season) and applied the same to Jayakwadi Project Stage-I, Maharashtra, India. The present study is in the form of a successful attempt to deal with irrigation planning associated with sustainability and uncertainty.

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