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.
Original language | English |
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Pages (from-to) | 51-69 |
Number of pages | 19 |
Journal | Fuzzy Optimization and Decision Making |
Volume | 4 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2005 Feb |
Externally published | Yes |
Keywords
- Agricultural management
- Chance constraint
- Crop planning
- Efficient solution procedure
- Fuzzy random coefficient
- Optimal solution
- Possibility measure
ASJC Scopus subject areas
- Software
- Logic
- Artificial Intelligence