Abstract
Iran is located on a silver, lead, and zinc belt and according to the latest studies holds 11 million tons of lead, zinc, and silver stones which constitute 4 percent of global resources. Considering that mineral materials are explored in an uncertain space, exploration investment risk is an inseparable part of these activities. The important fact is to minimize the effect of this undesired factor in exploration. To achieve this, it is required that exploration activities and withdrawals are performed in a certain framework in which risk minimization is considered. Using mineral potential modelling for determining promising zones which should be taken into consideration in more detailed stages could make achieving the purpose possibly. This work is aimed at applying fuzzy neural network and TOPSIS methods simultaneously in order to explore zinc and lead resources. In this article, geological, telemetry, geophysics, and geochemistry data is integrated using fuzzy-neural network (neuro fuzzy) and using TOPSIS method rating for lead and zinc ore deposit potential mapping in Isfahan-Khomein strip which has been introduced as one of zinc and leads mineral scopes in Iran. This area which is composed of several zinc and lead ore deposits has been considered as the target area. Fuzzy integration results of zinc and lead mineralization witness layers confirm the relatively high potential of lead and zinc mineralization in this region having a northwest-southeast trend and involving more than 90 percent of the known indices and ore deposits of the region. In this research, it was shown that the results of TOPSIS-Neuro-Fuzzy integrated model (a combination of neural network and fuzzy logic) have increased the resolution of talented areas from the areas with no mineralization potential in comparison with the fuzzy method individually.
Highlights
Goal recognition is a multi-stage activity while exploring mineral materials that start from regional scale and continues up to local scale
This work is aimed at applying fuzzy neural network and TOPSIS methods simultaneously in order to explore zinc and lead resources
Geological, telemetry, geophysics, and geochemistry data is integrated using fuzzy-neural network and using TOPSIS method rating for lead and zinc ore deposit potential mapping in Isfahan-Khomein strip which has been introduced as one of zinc and leads mineral scopes in Iran
Summary
Goal recognition is a multi-stage activity while exploring mineral materials that start from regional scale (small scale) and continues up to local scale (large scale). In each of the above stages, identification and generation of regions that should be considered as the target region include gathering, analysis, and integration of different exploration data, which is performed in order to extract and infer parts of pattern spatial data and witness mineralization i.e. geological, geochemical, or geophysical anomalies along with resources under investigation. Fuzzy model is a knowledge-based method which in case of integration with data-based methods such as neural network leads to a fuzzy network or fuzzy neural inference system This model is a very good choice for earth sciences because these sciences are a combination of knowledge and data [5] [6] [7] [8]. Neural networks are appropriate for problems with large data stations and the previous knowledge of the system is not used in network design This is whilst fuzzy inference systems can use the previous knowledge of the system in the framework of fuzzy regulations. Even after learning is completed, the neural network continues modifying membership functions as well as fuzzy logic laws [12] [13] [14] [15] [16]
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