A model of crop planning under uncertainty in agricultural management

被引：63
|
作者：
Itoh, T
Ishii, H
Nanseki, T
机构：
[1] Univ Marketing & Distribut Sci, Fac Informat Sci, Kobe, Hyogo 6512188, Japan
[2] Osaka Univ, Grad Sch Engn, Suita, Osaka 5650871, Japan
[3] Minist Agr Forestry & Fisheries, Tsukuba, Ibaraki 3058666, Japan
来源：
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS | 2003年 / 81-2卷
关键词：
crop planning; linear programming problem; fuzzy constraint; discrete random variable;
D O I：
10.1016/S0925-5273(02)00283-9
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The crop planning problem is often formulated as a linear programming problem. But, in many actual cases, the profit coefficients for agricultural products are not certain values because of the influence of the future weather, so a linear programming model with constant coefficients does not describe the environment of decision making properly. Therefore, we propose a model of crop planning with uncertain (stochastic) values which may support decision making of agricultural farms. In this paper, we treat such uncertain elements as the values with the fuzziness and randomness. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：555 / 558
页数：4
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