A Multiobjective Fuzzy Chance Constrained Programming Model for Land Allocation in Agricultural Sector: A case study

被引：0
作者：
Animesh Biswas
Nilkanta Modak
机构：
[1] University of Kalyani,Department of Mathematics
来源：
International Journal of Computational Intelligence Systems | 2017年 / 10卷
关键词：
Land allocation problem; Fuzzy chance constrained programming; Fuzzy number; Fuzzy goal programming; Fuzzy random variable;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this article a fuzzy multiobjective chance constrained programming model is used for modeling and solving land allocation problems efficiently with the help of fuzzy goal programming. Optimal production of seasonal crops and related expenditures are considered from the viewpoint of proper utilization of total cultivating land and different farming resources. Some resource parameters associated with the probabilistic constraints are taken as normally distributed fuzzy random variables. The potential use of this methodology is illustrated by a case example.
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页码：196 / 211
页数：15
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