Volume 26 , Issue 4 , PP: 361-372, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Himera Hamburguer 1 , Vicente Vergara-Fl´orez 2 , Kandy Ferrer Sotelo 3 , Osmin Ferrer Villar 4 , Jos´e Sanabria 5 *
Doi: https://doi.org/10.54216/IJNS.260430
Set-based theories have become key tools to address uncertainty and imprecision in complex systems. Fuzzy sets model gradual membership, soft sets add flexibility through parameterization, and neutrosophic sets generalize both by incorporating truth, indeterminacy, and falsity degrees. In this manuscript, a fuzzy-soft expert system is described to determine the efficiency of different fertilizations in lettuce (Lactuca sativa L.) crops considering agronomic variables such as fresh weight (FW), number of leaves (NL), and crown diameter (CD). The model, based on fuzzy membership functions and soft set operations, effectively manages the un- certainty inherent in agricultural data and provides a novel decision-support tool. Although this work focuses on fuzzy and soft sets, its extension to the neutrosophic framework could further enrich the analysis by ex- plicitly modeling indeterminacy and inconsistency, offering a more comprehensive approach to agricultural decision-making.
Fuzzy set , Soft set , Biomass , Agriculture , Lattuce
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