FUCOM-MOORA and FUCOM-MOOSRA: new MCDM-based knowledge-driven procedures for mineral potential mapping in greenfields

AbstractIn this study, we present the application of two novel hybrid multiple-criteria decision-making (MCDM) techniques in the mineral potential mapping (MPM), namely FUCOM-MOORA and FUCOM-MOOSRA, as robust computational frameworks for MPM. These were applied to a set of exploration targeting criteria of skarn. The multi-objective optimization method on the basis of ratio analysis (MOORA) and the multi-objective optimization on the basis of simple ratio analysis (MOOSRA) approaches are used to prioritize and rank individual cells. What makes MOORA and MOOSRA more reliable compared to many other methods is the fact that the optimizations procedure is applied to calculate the prospectivity score of individual unit cells. This reduces the uncertainty stemming from erroneous mathematical calculations. The full consistency method (FUCOM), on the other hand, is useful for assigning weights to the spatial proxies. The FUCOM method, as a pairwise comparison method, reduces a large number of pairwise comparisons of similar and popular approaches such as analytic hierarchy process (AHP) with $$n\left( {n - 1} \right)/2$$ n n - 1 / 2 and the best–worst method (BWM) with $$2n - 3$$ 2 n - 3 number of pairwise comparisons with $$n - 1$$ n - 1 which leads to a less time-consuming and more consistent performance compared with AHP and BWM. These were applied to a set of exploration targeting criteria of skarn iron deposits from Central Iran. Two potential maps were retrieved from the procedures applied, the comparison of which using correct classification rates and field checks revealed the superiority of FUCOM-MOOSRA over the FUCOM-MOORA

Evaluación del Potencial Minero Metalífero del Departamento Malargüe, Provincia de Mendoza. Modelos de Mineralización en Oro, Plata, Cobre, Molibdeno y Metales Base (Plomo, Zinc)

Fil: Servicio Geológico Minero Argentino; Argentina.El departamento Malargüe contiene una gran densidad de depósitos minerales y diversidad de mineralizaciones, que se encuentran en una etapa de exploración temprana, debido principalmente a la falta de inversiones en exploración en las últimas décadas; sin embargo, la región reviste un gran atractivo para la industria minera, con un alto interés exploratorio capaz de contener depósito de “clase mundial”. Estos depósitos están vinculados principalmente a cinco fajas metalogenéticas constituyendo depósitos de pórfiros de Cu ± Au ± Mo, Cobre en manto, skarn con Cu y skarn con Fe, depósitos de Cu, U y V en areniscas, Fluorita-(ETR) en vetas, polimetálicos simples y complejos, y epitermal de Oro de baja sulfuración. La evaluación mediante técnicas actuales, es imprescindible para valorar el potencial minero. En el presente trabajo se aplica una metodología multidisciplinaria, empleando datos geológicos, geoquímicos, geofísicos, de teledetección remota, catastrales y económicos. A partir de éstos, se creó una base datos con la caracterización de 241 depósitos que presentan alguna información histórica, de la que se obtuvieron mapas de depósitos minerales, alteraciones hidrotermales, de anomalías geoquímicas, estructurales y de unidades tectonoestratigráficas. El procesamiento también permitió detectar nuevas áreas de interés para commodities como oro, plata, cobre, hierro, uranio y vanadio, entre otros. Sobre la base de la información relevada, se realizaron mapas de síntesis y un cuadro donde se indican áreas potencialmente promisorias, según modelo de depósito y grado de potencialidad exploratoria. A su vez, las áreas se agruparon en seis sectores según sus características geológicas, resultando el sector de Las Choicas-Las Vegas el de mayor potencial para depósitos de pórfiros de cobre; el sector Don Sixto, conocido por los sistemas epitermales en basamento; el sector Cordón del Cobre, promisorio para hospedar depósitos tipo IOCG; el sector Puesto Vergara-Arroyo Montañés, para depósitos polimetálicos y skarn; el sector Cerro Mallines posee potencial para depósitos tipo skarn; por último, el sector de Mary-Mayán posee anomalías considerables, pero no se poseen suficientes datos geológicos

Risk Adjusted Evaluation of Mineral Assets Using Transaction Based Statistical Models

This thesis addresses “how the characteristics of gold deposit transactions affect their price” through investigation of four hypotheses related to risks that often affect price: ownership, commodity price, certainty and country-risk. An empirical approach based on geostatistical methods is used to determine the behaviour of gold deposit prices in response to the risks. The results identify differences between security and asset price behaviour, as well as challenge the validity of accepted pricing methods and assumptions

Fuzzy Techniques for Decision Making 2018

Zadeh's fuzzy set theory incorporates the impreciseness of data and evaluations, by imputting the degrees by which each object belongs to a set. Its success fostered theories that codify the subjectivity, uncertainty, imprecision, or roughness of the evaluations. Their rationale is to produce new flexible methodologies in order to model a variety of concrete decision problems more realistically. This Special Issue garners contributions addressing novel tools, techniques and methodologies for decision making (inclusive of both individual and group, single- or multi-criteria decision making) in the context of these theories. It contains 38 research articles that contribute to a variety of setups that combine fuzziness, hesitancy, roughness, covering sets, and linguistic approaches. Their ranges vary from fundamental or technical to applied approaches

Future Transportation

Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others