Prototype of expert system based on fuzzy logic for noise monitoring in educational spaces
During the last years in Panama, noise pollution has increased, which, although it may seem harmless, manages to reach such high levels, progressively affecting people's health. For this reason, both in closed and open spaces it is necessary to monitor the decibels of the noise. Expert systems enabl...
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| Other Authors: | , , |
| Format: | article |
| Language: | Spanish |
| Published: |
2020
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| Online Access: | https://revistas.utp.ac.pa/index.php/ric/article/view/2616 https://ridda2.utp.ac.pa/handle/123456789/12178 |
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| Summary: | During the last years in Panama, noise pollution has increased, which, although it may seem harmless, manages to reach such high levels, progressively affecting people's health. For this reason, both in closed and open spaces it is necessary to monitor the decibels of the noise. Expert systems enable expert knowledge to be represented, facilitating more accurate decision making. One of the techniques for building expert systems is through the concept of fuzzy logic. This article presents the prototype of an expertsystem based on fuzzy logic for noise monitoring and an alert mechanism in educational spaces. The developed system proposes the use of artificial intelligence techniques for decision making and exit mechanisms that act as alerts, specifically through state traffic lights, indicating the level of noise captured. This work presents the problem, a prototype of the functional expert system, and the results obtained from the tests carried out. |
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