Fuzzy Approach Based Management Model for Irrigation Planning

Abstract

The objective of this paper is to develop the irrigation planning model and to apply the same in the form of Multi Objective Fuzzy Linear Programming (MOFLP) approach for crop planning in command area of Jayakwadi Project Stage I, Maharashtra State, India. To formulate MOFLP model various Linear Programming (LP) models are developed to optimize the Net Benefits (NB), Crop/Yield Production (YP), Employment Generation (EG) and Manure Utilization (MU) for which the objective function and constraints are crisp in nature. From the results of these LP models the linear membership function for each individual objective function has been developed. Considering the decision makers satisfaction level (λ), all the four objectives are maximized simultaneously. The results of the MOFLP and LP are compared. The MOFLP model concentrates on satisfying four objectives simultaneously. The present model will be helpful for the decision maker to take decision under conflicting situation when planning for different objectives simultaneously. The degree of satisfaction λ, works out to be 0.58. Compromised solution provides Net Benefits 1503.73 Million Rupees, Crop Production 319563.50 Tons, Employment Generation/Labour Requirement 29.74 Million Man days and Manure Utilization 154506.50 Tons respectively

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

“…The detailed description of Case-I, given by Regulwar and Gurav (2010). From this solution, it is observed that the area to be irrigated is constant in case of Chilies (TS) and Sorghum (K) under LP model and MOFLP model solution.…”

Two-Phase Multi Objective Fuzzy Linear Programming Approach for Sustainable Irrigation Planning

“…These objective functions are maximized separately subjected to constraints (Equations (5) to (17) Table 2 in the form of mathematical Equation (24) to (27 as (x * ) represented in Table 2. In addition, the results MOFLP model, and TPMOFLP model have been shown graphically in Figure 6.…”

“…Regulwar and Anand Raj ( [25,26]) have developed a monthly Multi Objective Genetic Algorithm Fuzzy Optimization model. Regulwar and Gurav [27] have developed the MOFLP irrigation planning model, which considers the fuzziness in four objectives of the case study. Regulwar and Gurav [28] have presented the study on irrigation planning under uncertainty considering different cases using MOFLP approach.…”

Scheduling Repetitive Construction Projects Using Fuzzy Linear Programming

“…These objectives were minimum completion time and crashing costs required to be optimized simultaneously. Regulwar and Gurav [31] developed a multi objective fuzzy linear programming approach for crop planning in command area of Jayakwadi project stage I, Maharashtra State, India. Four objectives were optimized (maximized) simultaneously.…”