COMPARATIVE ANALYSIS OF CLASSIC ECONOMETRIC MODELS AND FUZZY-LOGIC BASED ECONOMETRIC MODELS IN FORECASTING AGRICULTURAL YIELDS

Authors

DOI:

https://doi.org/10.60078/2992-877X-2026-vol4-iss4-pp71-80

Abstract

This article presents a theoretical and practical comparison between classical econometric modeling and modeling based on the fuzzy differential equations approach for forecasting agricultural yields. The study describes the mathematical structures of both models, the interrelationships between variables, and the methodology of modeling while accounting for uncertainty.

Keywords:

fuzzy differential equations econometric modeling crop yield productivity

References

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How to Cite

Bayxonov, B., & Baxodirov, N. (2026). COMPARATIVE ANALYSIS OF CLASSIC ECONOMETRIC MODELS AND FUZZY-LOGIC BASED ECONOMETRIC MODELS IN FORECASTING AGRICULTURAL YIELDS . Economic Development and Analysis, 4(4), 71-80. https://doi.org/10.60078/2992-877X-2026-vol4-iss4-pp71-80