A Crop Planning Problem with Fuzzy Random Profit Coefficients

Authors:
Tasuku Toyonaga;Takesh Itoh;Hiroaki Ishii
Affiliations:
Graduate School of Information Science and Technology, Osaka University, Osaka, Japan;Faculty of Information Sciences, University of Marketing and Distribution Sciences, Kobe, Japan;Graduate School of Information Science and Technology, Osaka University, Osaka, Japan
Venue:
Fuzzy Optimization and Decision Making
Year:
2005

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Abstract

The main purpose of this paper is to present a crop planning problem for agricultural management under uncertainty. It is significant that agricultural managers assign their limited farmlands to cultivation of which crops in a season. This planning is called the crop planning problem and influences their incomes for the season. Usually, the crop planning problem is formulated as a linear programming problem. But there are many uncertain factors in agricultural problems, so future profits for crops are not certain values. A linear programming model with constant profit coefficients may not reflect the environment of decision making properly. Therefore, we propose a model of crop planning with fuzzy profit coefficients, and an effective solution procedure for the model. Furthermore, we extend this fuzzy model, setting the profit coefficients as discrete randomized fuzzy numbers. We show concrete optimal solutions for each models.