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Journals / International Journal of Intelligent Systems and Applications in Engineering / 2017 / Cilt: 5 - Sayı: 4

Modelling and Evaluating Air Quality with Fuzzy Logic AlgorithmAnkara-Cebeci Sample

İSMAİL ATACAK
NURSAL ARICI
Dilem GÜNER
Pages
263–268
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Ankara province data is used in the sample of the research.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Air is one of the most important life sources for all living things.
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Key Findings & Data:Accurate estimation of pollutant concentrations through air pollution modeling has an important effect in reducing the adverse effects of air pollution and taking necessary precautions.
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Conclusion & Impact:Ankara province data is used in the sample of the research.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

Air is one of the most important life sources for all living things. Gases that are present and absent in the composition of clean air also considered as pollutants in the atmosphere. If the pollutants rise above a certain concentration level, air pollution occurs. Air pollution damages all living things, especially human health. Accurate estimation of pollutant concentrations through air pollution modeling has an important effect in reducing the adverse effects of air pollution and taking necessary precautions. Conventional statistical models are widely used in air pollution forecasting and modeling. As a different approach, in this study, fuzzy logic algorithm (FLA), which has been increasingly successful in many field applications, is used to model air quality and air pollution analyzes are made based on this model. Ankara province data is used in the sample of the research.

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Cite This Article

ATACAK, İ., ARICI, N., GÜNER, D. (2017). Modelling and Evaluating Air Quality with Fuzzy Logic AlgorithmAnkara-Cebeci Sample. International Journal of Intelligent Systems and Applications in Engineering, Cilt: 5 - Sayı: 4, 263–268. https://ajindex.com/articles/190438

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