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...

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Detalles Bibliográficos
Autor principal: Chudasama, Bijal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method Article
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

Internet

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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