THE ORETICAL AND METHODOLOGICAL FOUNDATIONS OF ECONOMETRIC ASSESSMENT OF PRODUCTION EFFICIENCY IN AGRICULTURAL SECTORS BASED ON FUZZY REGRESSION
DOI:
https://doi.org/10.60078/2992-877X-2025-vol3-iss10-pp41-48Abstract
This article examines the theoretical and methodological foundations of applying the fuzzy regression model in assessing production efficiency in agricultural sectors. The advantages of the fuzzy approach in optimizing the utilization of available resources in the agricultural sector are analyzed. Furthermore, the scientific significance of identifying the relationships between factors affecting efficiency under conditions of uncertainty using the fuzzy regression model is theoretically substantiated.
Keywords:
agriculture economic efficiency fuzzy regression econometric analysis uncertainty production factors sustainable development optimizationReferences
Iqbal S., Zhang C., Arif M., Wang Y., Dicu A. M. (2020). A comparative study of fuzzy-logic regression and ARIMA models for prediction of gram production. In Soft Computing Applications, Springer, 289–299.
Li Y., Shi, Z., Li F., & Li H.-Y. (2007). Delineation of site-specific management zones using fuzzy clustering analysis in a coastal saline land. Computers and Electronics in Agriculture, 56(2), 174–186.
Mousavi-Avval S. H., Rafiee S., & Mohammadi A. (2021). Development and evaluation of combined adaptive neuro-fuzzy inference system and multi-objective genetic algorithm in energy, economic and environmental life cycle assessments of oilseed production. Sustainability, 13(1), 290.
Neugebauer M., Akdeniz, C., Demir V., & Yurdem H. (2023). Fuzzy logic control for watering system. Scientific Reports, 13, 18485.
Scudiero E., Teatini P., Corwin D. L., Deiana R., Berti A., Morari F. (2013). Delineation of site-specific management units in a saline region at the Venice Lagoon margin, Italy, using soil reflectance and apparent electrical conductivity. Computers and Electronics in Agriculture, 99, 54–64.
Tanaka H., Uejima S., & Asai, K. (1982). Linear regression analysis with fuzzy model. IEEE Transactions on Systems, Man, and Cybernetics, 12(6), 903–907.
Tuncel G., & Gunturk B. (2024). A Fuzzy Multi-Criteria Decision-Making Approach for Agricultural Land Selection. Sustainability, 16(23), 10509.
Wang N., Reformat M., Yao W., Zhao, Y., Chen X. (2020). Fuzzy linear regression based on approximate Bayesian computation. Applied Soft Computing, 97, 106763.
Zadeh L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
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