Application of a fuzzy inference system to mapping prospectivity for the Chahfiroozeh copper deposit, Kerman, Iran

Autor:	Mohammad Karimi, Mohammad Sadi Mesgari, Sanaz Alaei Moghadam
Rok vydání:	2015
Předmět:	Atmospheric Science Relation (database) Geography Planning and Development computer.software_genre Fuzzy logic Porphyry copper deposit General Energy Geography Prospectivity mapping Fuzzy inference system Data mining Mineral potential Cartography computer
Zdroj:	Journal of Spatial Science. 60:233-255
ISSN:	1836-5655 1449-8596
DOI:	10.1080/14498596.2015.1004653
Popis:	Mineral Potential Mapping (MPM) is usually regarded as a complex procedure. In modelling such a procedure, aspects such as the multiplicity of factors, fuzziness in the qualitative and quantitative data, and diverse experts' viewpoints need to be considered. To respond to these requirements, in this research, a methodology is proposed on the basis of the Fuzzy Inference System (FIS) and relations. The method is tested on the data of the Chah Firoozeh prospect, Kerman, Iran, to map the porphyry copper prospectivity. In the first stage, level-one factor maps are weighted using asymmetric fuzzy relation analysis and are combined using multilevel fuzzy comprehensive evaluation. The results are the level-two factor maps. In the next stage, these factor maps are integrated using a FIS to generate mineral potential maps. The final mineral potential map was evaluated using exploratory boreholes. The results indicate that the most prospective areas for porphyry copper mineralisation in Chah Firoozeh are located in...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6b8e56bdf3b4d2d82ee383cea0c5250b https://doi.org/10.1080/14498596.2015.1004653 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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