A comparative analysis of multi-index overlay and fuzzy ordered weighted averaging methods for porphyry Cu prospectivity mapping using remote sensing data: the case study of Chahargonbad area, SE of Iran

Riahi, Shokouh; Bahroudi, Abbas; Abedi, Maysam; Aslani, Soheila

doi:10.1080/10106049.2022.2159068

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A comparative analysis of multi-index overlay and fuzzy ordered weighted averaging methods for porphyry Cu prospectivity mapping using remote sensing data: the case study of Chahargonbad area, SE of Iran

Cited by 3 publications

References 81 publications

Groundwater potential modeling over the eastern part of Ghana’s Northern Region using evidence belief functions and weight of evidence

Groundwater potential modeling over the eastern part of Ghana’s Northern Region using evidence belief functions and weight of evidence

Targeting high-potential mineral prospects in the Ezzhiliga region, Moroccan central massif, using spectral data from the ASTER sensor

Bwm-Marcos: A New Hybrid Mcdm Approach for Mineral Potential Modelling

Contact Info

Product

Resources

About