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Fuzzy inference systems for mineral prospectivity modeling-optimized using Monte Carlo simulations
This paper uses Monte Carlo simulations to estimate the parameters of rule-based fuzzy inference systems (FISs) designed for mineral prospectivity modeling. The targeted process for the case study is gold mineralization in the Rajapalot project area in northern Finland. Mamdani-type FISs are develop...
Autor principal: | Chudasama, Bijal |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861816/ https://www.ncbi.nlm.nih.gov/pubmed/35242613 http://dx.doi.org/10.1016/j.mex.2022.101629 |
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