Fuzzy Logic-Based Monitoring of Earth Observations

Fuzzy Logic-Based Monitoring of Earth Observations

Copyright: © 2024 |Pages: 14
ISBN13: 9798369318508|ISBN13 Softcover: 9798369347287|EISBN13: 9798369318515
DOI: 10.4018/979-8-3693-1850-8.ch010
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MLA

R., Karthiga, et al. "Fuzzy Logic-Based Monitoring of Earth Observations." Novel AI Applications for Advancing Earth Sciences, edited by Sudesh Yadav, et al., IGI Global, 2024, pp. 151-164. https://doi.org/10.4018/979-8-3693-1850-8.ch010

APA

R., K., V., S., Kumar, S., & S., R. (2024). Fuzzy Logic-Based Monitoring of Earth Observations. In S. Yadav, S. Yadav, P. Raj, P. Tiwari, & V. Albuquerque (Eds.), Novel AI Applications for Advancing Earth Sciences (pp. 151-164). IGI Global. https://doi.org/10.4018/979-8-3693-1850-8.ch010

Chicago

R., Karthiga, et al. "Fuzzy Logic-Based Monitoring of Earth Observations." In Novel AI Applications for Advancing Earth Sciences, edited by Sudesh Yadav, et al., 151-164. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1850-8.ch010

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Abstract

Monitoring Earth observations performs a crucial role in expertise and predicting numerous phenomena, including weather trade, herbal disasters, land use adjustments, and commercial pollutants. This chapter explores the use of fuzzy logic strategies for monitoring earth observations, considering its capability, blessings, and challenges. Fuzzy logic-based total decision support structures have been established to be adequate gear in monitoring earth observations. One of the key advantages of this method is its ability to deal with vague and unsure data. One of the key findings is the potential of fuzzy good judgment-based monitoring to handle and incorporate uncertainty in earth observations. Conventional monitoring methods frequently battle with uncertainties associated with sensor noise, atmospheric situations, and ambiguous class standards. Fuzzy logic-based systems, alternatively, excel in handling such uncertainties by presenting bendy and adaptive reasoning strategies.

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