Fuzzy linear programming for farm planning
Journal
Journal of the Agricultural Association of China
Journal Issue
180
Start Page
78
End Page
79
ISSN
05781434
Date Issued
1997-12-01
Author(s)
Ku, Jih-Hauo
Abstract
The rational use and managmemt of agriculture land has been an important problem to agriculture official department. To avoid agriculture unrational use in the future requires an approach that combines the best elements of technology that can properly describe the complex of farm planning problem and obtain its optimal solution. The mathematical optimization and simulation methods such as linear programming are ofen use to achieve the above goals. Although in many studies, these methods can significantly aid in evaluation and selection of farm planning, their results however can not be implemented inpractical problems. Because the tradicional mathematical methods can not be rationaly described a problem which cantains large amount of linguistic oral statements and fuzzy relations. Conseguently their optimal soultion could not be accepted. This study shows three methods: Zimmermann, Wrners, Chanas and Verdegay, which can properly describe linguistic objective and vague constrains through the linear membership function which are only a rough approximation of realities for a farm planning problem.
Subjects
Farm planning
Fuzzy linear programming
Fuzzy mathematic
Fuzzy sets theory
Membership function
Type
journal article