NDLI: Multi Objective Sustainable Irrigation Planning with Decision Parameters and Decision Variables Fuzzy in Nature

Content Provider	Springer Nature Link
Author	Gurav, Jyotiba B. Regulwar, D. G.
Copyright Year	2012
Abstract	This paper presents the Multi Objective Fuzzy Linear Programming (MOFLP) model, which deals with the fuzziness in resources and decision variables, closer to the real world situation. The MOFLP model is developed and applied to the Jayakwadi Project Stage-I built across the river Godavari in the State of Maharashtra, India. It focuses on the four objectives namely maximization of Net Benefits, maximization of Crop Production, maximization of Employment Generation and maximization of Manure Utilization. The level of satisfaction λ = 0.625 is worked out for compromised solution for four conflicting objectives under fuzzy environment. The MOFLP model compromised solution for irrigation planning provides Net Benefits 1522.75 (Million Rupees), Crop Production 322504.40 (Tons), Employment Generation 29.27 (Million Man Days) and Manure Utilization 147229.40 (Tons) respectively and irrigation intensity 68.50 %. The results obtained are promising for sustainable development in irrigation sector and closer to the true picture of the real world problem as it incorporates the fuzziness in both resources and decision variables simultaneously.
Starting Page	3005
Ending Page	3021
Page Count	17
File Format	PDF
ISSN	09204741
Journal	Water Resources Management
Volume Number	26
Issue Number	10
e-ISSN	15731650
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-06-06
Publisher Institution	European Water Resources Association (EWRA)
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multi Objective Fuzzy Linear Programming (MOFLP) Fuzzy stipulations/resources Uncertainty Irrigation planning Fuzzy decision variables Civil Engineering Hydrogeology Environment Meteorology/Climatology Geotechnical Engineering & Applied Earth Sciences
Content Type	Text
Resource Type	Article
Subject	Water Science and Technology Civil and Structural Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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

Sustainable Irrigation Planning with Imprecise Parameters under Fuzzy Environment

A Multi-objective Linear Programming Model with Interval Parameters for Water Resources Allocation in Dalian City

Multi-Source Multi-Sector Sustainable Water Supply Under Multiple Uncertainties: An Inexact Fuzzy-Stochastic Quadratic Programming Approach

Integrated Water Resources Management in Polrud Irrigation System

Identifying Optimal Water Resources Allocation Strategies through an Interactive Multi-Stage Stochastic Fuzzy Programming Approach

Fuzzy Approach Based Management Model for Irrigation Planning

Urban Water Management Using Fuzzy-Probabilistic Multi-Objective Programming with Dynamic Efficiency

Planning water resources systems with interval stochastic dynamic programming

Multi Objective Sustainable Irrigation Planning with Decision Parameters and Decision Variables Fuzzy in Nature

Similar Documents

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

Sustainable Irrigation Planning with Imprecise Parameters under Fuzzy Environment

A Multi-objective Linear Programming Model with Interval Parameters for Water Resources Allocation in Dalian City

Multi-Source Multi-Sector Sustainable Water Supply Under Multiple Uncertainties: An Inexact Fuzzy-Stochastic Quadratic Programming Approach

Integrated Water Resources Management in Polrud Irrigation System

Identifying Optimal Water Resources Allocation Strategies through an Interactive Multi-Stage Stochastic Fuzzy Programming Approach

Fuzzy Approach Based Management Model for Irrigation Planning

Urban Water Management Using Fuzzy-Probabilistic Multi-Objective Programming with Dynamic Efficiency

Planning water resources systems with interval stochastic dynamic programming

Multi Objective Sustainable Irrigation Planning with Decision Parameters and Decision Variables Fuzzy in Nature