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Selecting the Best Development Face Ventilation Scheme Using G1-Coefficient of Variation Method

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Proceedings of the 11th International Mine Ventilation Congress

Abstract

The current popular methods for decision making and project optimisation in mine ventilation contain a number of deficiencies as they are solely based on either subjective knowledge or objective information. This paper presents a new approach to rank the alternatives using G1-coefficient of variation method. The focus of this approach is to use combination weighing, which is able to compensate for the deficiencies in index single weighing method. In the case study, an evaluation index system was established to determine the evaluation value of each ventilation mode to select the best development face ventilation mode. The result shows that the proposed approach is able to rank the alternative development face ventilation mode reasonably, the combination weighing method had the advantages of using both subjective and objective weighing methods by taking into consideration of both the experience and practical knowledge, and any possible changes in a scenario. This approach provides a more reasonable and reliable procedure to analyze and evaluate different ventilation modes.

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Acknowledgements

The study was supported by the National Natural Science Foundation of China (51504286, 51374242), the Science and Technology Plan of Hunan province (2015RS4004) and China Postdoctoral Science Foundation (2015M572270).

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Correspondence to Chen Zhongwei .

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Zhiyong, Z., Kizil, M., Zhongwei, C., Jianhong, C. (2019). Selecting the Best Development Face Ventilation Scheme Using G1-Coefficient of Variation Method. In: Chang, X. (eds) Proceedings of the 11th International Mine Ventilation Congress. Springer, Singapore. https://doi.org/10.1007/978-981-13-1420-9_9

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