Optimization of Agricultural Land Use on the Basis of Mathematical Methods of Financial Analysis and the Theory of Fuzzy Sets
| Autor: | B. Stryukov Michael, V. Sakharova Lyudmila, I. Akperov Gurru |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization Basis (linear algebra) Land use Financial instrument Fuzzy set Regression analysis 02 engineering and technology Nonlinear programming 020901 industrial engineering & automation Agricultural land 0202 electrical engineering electronic engineering information engineering Financial analysis 020201 artificial intelligence & image processing Mathematics |
| Zdroj: | 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018 ISBN: 9783030041632 |
| Popis: | The article presents the optimization model of unsustainable land use on the basis of data on crop acreage and yield for major agricultural crops grown in the Rostov region. The following mathematical apparatus used for modeling: methods of regression analysis and nonlinear optimization, commonly used in the mathematical methods of financial analysis to optimize portfolios of financial instruments. The model allows to calculate the optimal quantitative distribution of territories that ensures the maximum average yield with minimal average risk. Model modified on the basis of fuzzy set theory to apply in practical calculations, the overall estimated harvest of crop species. |
| Databáze: | OpenAIRE |
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