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Two-Phase Multi Objective Fuzzy Linear Programming Approach for Sustainable Irrigation Planning
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作者 D. G. Regulwar Jyotiba B. Gurav 《Journal of Water Resource and Protection》 2013年第6期642-651,共10页
The objective of the present study is to develop the irrigation planning model and to apply the same in the form of Two-Phase Multi Objective Fuzzy Linear Programming (TPMOFLP) approach for crop planning in command ar... The objective of the present study is to develop the irrigation planning model and to apply the same in the form of Two-Phase Multi Objective Fuzzy Linear Programming (TPMOFLP) approach for crop planning in command area of Jayakwadi Project Stage I, Maharashtra State, India. The development of TPMOFLP model is on the basis of various Linear Programming (LP) models and Multi Objective Fuzzy Linear Programming (MOFLP) models, these models have been applied for maximization of the Net Benefits (NB), Crop production (CP), Employment Generation (EG) and Manure Utilization (MU) respectively. The significant increase in the value of level of satisfaction (λ) has been found from 0.58 to 0.65 by using the TPMOFLP approach as compare to that of MOFLP model based on maxmin approach. The two-phase approach solution provides NB = 1503.56 Million Rupees, CP = 335729.30 Tons, EG = 29.74 Million Man days and MU = 160233.70 Tons respectively. The proposed model will be helpful for the Decision Maker (DM) to take a decision under conflicting situation while planning for different conflicting objectives simultaneously and has potential to find out an integrated irrigation planning with prime consideration for economic, social and environmental issue. 展开更多
关键词 SUSTAINABLE IRRIGATION PLANNING Multi Objective fuzzy linear programming Maxmin approach two-phase approach
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多目标线性规划的模糊折衷算法 被引量:7
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作者 李学全 李辉 《中南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2004年第3期514-517,共4页
通过推广求解多目标线性规划问题的平均算子法,提出了多目标线性规划的模糊折衷算法,证明了多目标线性规划的模糊折衷算法求得的解是有效解。此外,提出了多目标线性规划的两阶段算法,即:若多目标线性规划的模糊折衷算法指定的最小满意... 通过推广求解多目标线性规划问题的平均算子法,提出了多目标线性规划的模糊折衷算法,证明了多目标线性规划的模糊折衷算法求得的解是有效解。此外,提出了多目标线性规划的两阶段算法,即:若多目标线性规划的模糊折衷算法指定的最小满意度不恰当,则可能会导致交互过程复杂化;若用最小算子法求得的解作为多目标线性规划模糊折衷算法中决策者指定的目标函数最小满意度,则可能使多目标线性规划的模糊折衷算法的计算量减小,另一方面能够弥补最大(最小)算子法求得的解可能为非有效解的不足。此外,用实例验证了多目标线性规划两阶段算法求得的解为有效解。 展开更多
关键词 模糊多目标线性规划 模糊折衷算法 两阶段法
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带权值的模糊多目标线性规划 被引量:5
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作者 李学全 李辉 《经济数学》 2003年第4期81-85,共5页
本文提出了求解一般多目标性规划问题 (MOL P)的带权值的模糊多目标线性规划方法 .证明了在权值都大于零的条件下 ,与 (MOLP)原问题对应的带权值的模糊多目标线性规划问题的最优解为模糊有效解 ,从而为原问题的有效解 ,并作了实例验证 .
关键词 模糊多目标线性规划 两阶段法 算子法 权值 有效解
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