Application of data-driven multi-index overlay and BWM-MOORA MCDM methods in mineral prospectivity mapping of porphyry Cu mineralization

S Riahi, A Bahroudi, M Abedi, DR Lentz… - Journal of Applied …, 2023 - Elsevier
The present study applies proposed hybrid mathematical frameworks, namely Data-driven
Multi-Index Overlay Method (DMIO) and Best Worst Method-multi objective optimization by …

Fractal-Based Multi-Criteria Feature Selection to Enhance Predictive Capability of AI-Driven Mineral Prospectivity Mapping

T Sun, M Feng, W Pu, Y Liu, F Chen, H Zhang… - Fractal and …, 2024 - mdpi.com
AI-driven mineral prospectivity mapping (MPM) is a valid and increasingly accepted tool for
delineating the targets of mineral exploration, but it suffers from noisy and unrepresentative …

[PDF][PDF] Combination of logarithmic percentage change-driven objective weighting and multi-attributive ideal-real comparative analysis in determining the best …

SH Hadad, S Subhan, S Setiawansyah… - Jurnal Teknik …, 2024 - researchgate.net
The problem that occurs in the selection of the best production employees is the lack of
transparency and objectivity in the selection process. Without clear procedures and well …

Comparative analysis of novel fuzzy multi-criteria decision-making methods for selecting fourth-party logistics service providers: a case study in the plastic resin …

D Sumrit, K Jiamanukulkij - International Journal of Applied …, 2024 - inderscienceonline.com
This paper proposes a systematic framework to select the best 4PLs by incorporating
several MCDM methods. The aim of this paper is to conduct a comparative study to examine …

A Hybrid Fuzzy Ordered Weighted Averaging Method in Mineral Prospectivity Mapping: A case for Porphyry Cu Exploration in Chahargonbad District, Iran

S Riahi, M Abedi, A Bahroudi - International Journal of Mining and Geo …, 2023 - ijmge.ut.ac.ir
This research presents a case study that employs the Fuzzy Ordered Weighted Averaging
(FOWA) method to develop mineral prospectivity/potential maps (MPM) for the …

Clustering of Areas Prone to Iron Mineralization in Esfordi Range based on a Hybrid Method of Knowledge-and Data-Driven Approaches

SA Agha Seyyed Mirzabozorg… - Journal of Mineral …, 2023 - jmre.journals.ikiu.ac.ir
In this study, a hybrid approach is established for clustering the most favorable regions in
association with magnetite-apatite mineralization at the Esfordi district in the central Iran. An …