Application of a hybrid BWM-TOPSIS approach for mineral potential mapping.

Many mineral predictive models created based on multicriteria decision making (MCDM) methods use only one conceptually-based MCDM technique for data integration and synthesis of the mineral-related predictors. It is noteworthy that relying on just one mode of the conceptually-based data integration technique is often insufficient, as it fails to address the problems the other mode (in terms of either determining the weights of the predictors or by ranking and prioritising the predictors) deals with before the predictors are synthesised. Herein, a hybrid conceptually-based data integration approach comprising the best-worst method (BWM) and the Technique for Order of Preference by Similarity (TOPSIS) methods have been adopted in mapping viable regions of gold mineralisation occurrences over the Abansuoso Area of Ghana's Ashanti Region.