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- W4328107786 abstract "The evaluation of ambient air quality, associated with uncertainty in the form of fuzziness and randomness, assumes significant importance in the changing environment scenario. Air pollution could be due to vehicular emission and various industries. Thermal power plants (TPPs) emit greenhouse gases and are also a significant source of local pollution resulting in damage to health and wellbeing. Therefore, it is very important to find a suitable site for such installations based on available mathematical techniques. The Zadeh–Deshpande (ZD) formalism considers only the air quality criteria pollutants. However, there are some other fuzzy constraints such as wind velocity, population density, temperature, and humidity that are not considered and can affect air quality. For example, there could be several air quality monitoring stations (AQMS) in a city with a high risk but with a varying degree of certainty (DC) in numeric terms. In such a scenario, optimal ranking on the basis of AQMS and TPPs for the identification of pollution mitigation measures in a fuzzy environment assumes importance. This chapter presents two case studies: one ranks AQMS and the other ranks TPPs." @default.
- W4328107786 created "2023-03-22" @default.
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- W4328107786 date "2023-03-17" @default.
- W4328107786 modified "2023-10-02" @default.
- W4328107786 title "Optimal Ranking of Air Quality Monitoring Stations and Thermal Power Plants in a Fuzzy Environment" @default.
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- W4328107786 doi "https://doi.org/10.1002/9781119569503.ch6" @default.
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