| Issue |
MATEC Web Conf.
Volume 421, 2026
1st International Conference on Monitoring and Control of Water Systems (MoCWS 2026)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 4 | |
| Section | Emergent Topics | |
| DOI | https://doi.org/10.1051/matecconf/202642101002 | |
| Published online | 16 June 2026 | |
A Power-Efficient Analog Hardware Type-2 Fuzzy Classifier Architecture for Water Potability
1 National Technical University of Athens, 15780 Athens, Greece
2 Archimedes, Athena Research Center, 15125 Marousi, Greece
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Abstract
This work presents an ultra-low-power analog fuzzy classifier based on Gaussian membership functions, MIN/MAX rule evaluation, and OTA-based defuzzification, operating in the subthreshold region for energy-efficient real-time inference. The architecture is evaluated on a water quality assessment dataset with reduced feature complexity, achieving competitive accuracy of 85.98% compared to the software equivalent of 89.42% and demonstrating suitability for low-power edge applications with a total power consumption of 72nW.
© The Authors, published by EDP Sciences, 2026
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