A Hybrid Fuzzy Weights-of-Evidence Model for Mineral Potential Mapping

By A. Porwal, Emmanuel John Muico Carranza, M. Hale. 2006

157 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/71da026734ed33c79cedddaca6f3a4cdf42842d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Renguang Zuo
2. Emmanuel John Muico Carranza
3. Alice G. Laborte

In Mechanical Engineering

1. Renguang Zuo
2. Emmanuel John Muico Carranza

In Mechanics of Materials

1. Renguang Zuo
2. Emmanuel John Muico Carranza

Citations in the corpus

• Support vector machine: A tool for mapping mineral prospectivity (2011, methodology): “Additional, the mixing of knowledge-driven and data-driven methods also is used for mapping of mineral prospectivity (e.g., Porwal et al., 2006; Zuo et al., 2009).”