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Optimizing Fuzzy Membership Functions for Tuberculosis Diagnosis: A Comparative Study of Gaussian and Triangular Functions with PSO

2026-03-25

Abstract excerpt

<title>Abstract</title> <p>In fuzzy logic‑based diagnostic systems, the shape of membership functions (MFs) significantly influences model performance. This study investigates the impact of Gaussian versus triangular MFs on tuberculosis (TB) diagnosis within a neuro‑fuzzy framework optimized by particle swarm optimization (PSO). Using a dataset of 1200 subjects (850 TB cases, 350 controls) from the Centers for Di...

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Literature Corpus work: 262866ae-78ca-5f20-9f94-20ed8b1f5162
DOI: 10.21203/rs.3.rs-9201866/v1

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