The role of fuzzy logic in malaria transmission

Fuzzy logic is typically used to create fuzzy rules that are simple enough for people to understand, and it has been utilized in numerous industries where uncertainty is important. One outstanding example of ambiguity and uncertainty is medical diagnosis. We employ fuzzy logic, which builds a logic as the foundation for inference rules using the entire real number range between zero and one. Three things set it apart: it makes use of linguistic variables; it represents relationships between variables using conditional statements; and for complex relations, it employs fuzzy algorithms.

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Publication Details

Journal
New Microbes and New Infections
Published
2025-12-31
DOI
https://doi.org/10.1016/j.nmni.2025.101694
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

The role of fuzzy logic in malaria transmission

D.L. Suthar, Gizachew Tirite Gellow
New Microbes and New Infections
Malaria Research and Control
article

The role of fuzzy logic in malaria transmission

D.L. Suthar, Gizachew Tirite Gellow
article en

Abstract

Fuzzy logic is typically used to create fuzzy rules that are simple enough for people to understand, and it has been utilized in numerous industries where uncertainty is important. One outstanding example of ambiguity and uncertainty is medical diagnosis. We employ fuzzy logic, which builds a logic as the foundation for inference rules using the entire real number range between zero and one. Three things set it apart: it makes use of linguistic variables; it represents relationships between variables using conditional statements; and for complex relations, it employs fuzzy algorithms.

New Microbes and New InfectionsVol. 69
Wollo University (ET)
Good health and well-being
Openalex Percentile: Top 25%
Malaria Research and Control
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