Open Access Open Access  Restricted Access Subscription Access

A Comprehensive Utilization Efficiency Evaluation of Iron Tailings based on the Differential — Benefit Evaluation


Affiliations
1 Hebei Industrial University, Tianjin - 300191, China
2 Tianjin Environmental Protection Bureau, Tianjin - 300191, Hebei, China

   Subscribe/Renew Journal


At present, in the evaluation of iron tailings resources, the single evaluation of a certain aspect is limited to the qualitative evaluation, and there is no uniform standard in either theory or method. In this paper, based on the grey group analytic hierarchy process and fuzzy mathematics as the analysis tool, the benefit of the iron tailings resources is analyzed, From resource benefit, economic benefit, environmental benefit and social benefit several aspects to build the differential - efficiency index system and established the differential-benefit evaluation model and the influence of iron tailings resource evaluation of the weight of each index distribution, is obtained by correlation analysis and the likelihood of benefit index influencing the size of the order, to a certain extent, verified the rationality of the index weight, provides a theoretical guidance for iron tailings resource utilization.

Keywords

Benefit Evaluation Correlation Analysis, Grey Group analytic Hierarchy Process Fuzzy Teaching Differential.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Zhiwei, C., Chongke, J., & Chao, Y. (2013). On the investigation and evaluation of iron ore tailings resources. Theoretical Study Of Urban Construction: Electronic version, 13.
  • Jiabin, C, Wenlong, J, & Jitao, F. (2009). Economic analysis model and application of iron tailings utilization. Resources Science, 31(1), 152–156.
  • Jiabin, C, Wenlong, J, & Lianghui, Y. (2010). Research and development of the investigation and evaluation of resources of iron ore tailings mining. 3, 60-62.
  • Xinlei, F., Fangwei, Z., Mingli, Z., et al. (2007). A new method for multi attribute decision making based on range theory. Journal of Liaocheng University (Natural Science Edition), Natural Science Edition, 20(2), 33–35.
  • Xiaoli, Z. (2016). Decision model based on grey number information and its application. North China University of water conservancy and hydropower.
  • Xia, W. (2015). Construction and application of decision model based on grey number information. Nanjing University of Aeronautics & Astronautics.
  • Zhibo, W. (2013). Evaluation of technological innovation capability of enterprises based on AHP-grey relational grade model. Statistics and Decision Making, 4, 51–53.
  • Yan, X., Yanping, Z. (2010). Evaluation of competitiveness of private enterprises based on AHP and grey relational analysis. Reform and Strategy, 26(7), 83–85.
  • Ming S. (2014). Comparison between analytic hierarchy process (AHP) and network analytic hierarchy process (ANP). Chinese and Foreign Entrepreneurs, 10, 67 –68.
  • Xue, D., Gang, L., Haojian, C., Junyang, C., & Junfeng, Z. (2012). Analysis and application of analytic hierarchy process weight calculation. Mathematical Practice and Understanding, 42(07), 93–100.
  • Yuan, L. (2009). Matlab implementation of fuzzy analytic hierarchy process. Silicon Valley, (17), 2, 38.
  • Shaokun, W., Shujuan, L, Yan, L. (2005). Using analytic hierarchy process (AHP) to determine the weight of customer requirements. Machine Design and Manufacture, (06), 170–172.

Abstract Views: 99

PDF Views: 0




  • A Comprehensive Utilization Efficiency Evaluation of Iron Tailings based on the Differential — Benefit Evaluation

Abstract Views: 99  |  PDF Views: 0

Authors

LI Yu-feng
Hebei Industrial University, Tianjin - 300191, China
BAO Jing-ling
Tianjin Environmental Protection Bureau, Tianjin - 300191, Hebei, China

Abstract


At present, in the evaluation of iron tailings resources, the single evaluation of a certain aspect is limited to the qualitative evaluation, and there is no uniform standard in either theory or method. In this paper, based on the grey group analytic hierarchy process and fuzzy mathematics as the analysis tool, the benefit of the iron tailings resources is analyzed, From resource benefit, economic benefit, environmental benefit and social benefit several aspects to build the differential - efficiency index system and established the differential-benefit evaluation model and the influence of iron tailings resource evaluation of the weight of each index distribution, is obtained by correlation analysis and the likelihood of benefit index influencing the size of the order, to a certain extent, verified the rationality of the index weight, provides a theoretical guidance for iron tailings resource utilization.

Keywords


Benefit Evaluation Correlation Analysis, Grey Group analytic Hierarchy Process Fuzzy Teaching Differential.

References





DOI: https://doi.org/10.18311/%2Fjmmf%2F2022%2F30802