# Quality Evaluation of Wasteless Mining in Dongguashan Based on Intuitionistic Fuzzy Set and VIKOR
## 4 Case Study
### Evaluation of Wasteless Mining in Dongguashan Based on Intuitionistic Fuzzy Set and VIKOR  
The proposed evaluation method of the wasteless mining in this study can be conducted as follows. Firstly, the national standard system and the current mining situation of the Dongguashan Copper Mine were combined and the intuitive fuzzy sets were established. Referring to the green mine evaluation system, the index weights were calculated by the AHP method. Secondly, the above intuitionistic fuzzy set matrix was ranked by the VIKOR method to determine the level of wasteless mining in the mine. Finally, a sensitivity  
Figure 4: Mining loss rate and beneficiation technical indicators of Dongguashan Copper Mine (**(a)** main economic indicators of mining methods of Dongguashan mine; **(b)**, statistics of beneficiation recovery rate indicators of Dongguashan mine in 2012). \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Evaluation** & \begin{tabular}{c} **Waste Rock** \\ **Utilization** \\ **Rate** \\ \end{tabular} & \begin{tabular}{c} **Tailings** \\ **Utilization** \\ **Rate** \\ \end{tabular} & \begin{tabular}{c} **Wastewater** \\ **Pollution** \\ \end{tabular} & \begin{tabular}{c} **Exhaust** \\ **Emissions** \\ \end{tabular} & \
\begin{tabular}{c} **Soil Envi-** \\ **ronment** \\ \end{tabular} &
\begin{tabular}{c} **Resources** \\ **Recovery** \\ **Rate** \\ \end{tabular} \\ \hline Mine & 93.52\% & 84.36\% & No wastewater & No exhaust gas & Great quality & 73.10\% \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Evaluation index results of wasteless mining in Dongguashan Copper Mine. analysis was performed to verify the stability of the VIKOR method in the application. Figure 5 shows the process of the waste-free mining evaluation. (1) Building the intuitionistic fuzzy sets  
To represent each evaluation index level with intuitionistic fuzzy sets, the affiliation degree is assigned according to the classification of each index in Section 2.3. Based on the existing calculation method of the affiliation degree and the actual situation, the six evaluation indicators are used as a domain to assign the affiliation degree to the evaluation criteria of wasteless mining. For the upper limit of level I, the affiliation degree is assigned to 1; for the lower limit of level V, the affiliation degree is assigned to 0. The affiliation degree of the wasteless mining quality of the other levels is between 0 and 1, and its value is assigned according to the detailed level. Table 9 shows the values of the six evaluation indexes. Figure 5: Flow chart of wasteless mining evaluation based on intuitionistic fuzzy set VIKOR. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Grade**} & **Waste Rock and** & **Wastewater** & \multirow{2}{*}{**Exceeds the Utilization\%**} & **Exhaust and Soil Quality** & **Resource Recovery\%** & **Affiliation** & **Non-Affiliation** \\ \hline P & 100 & No wastewater & No exhaust gas & 100 & 1 & 0 \\ I & 80 & 0 & Unaggravated & 80 & 0.8 & 0.2 \\ II & 70 & 200 & Aggravated Grade 1 & 70 & 0.6 & 0.4 \\ III & 60 & 300 & Aggravated Grade 2 & 60 & 0.4 & 0.6 \\ IV & 0 & \textgreater{}300 & Aggravated Grade 3 and above & 0 & 0 & 1 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Affiliation assignment for indicator classification. In Table 9, the quality of the wassteless mining is divided into four levels. The level of I* is the ideal state of wassteless mining, followed by I-IV. As shown in Table 9, waste rock, tailing sand and resource recovery can be well classified by the numbers, while the wastewater, waste gas and soil quality are graded in the qualitative description. According to the actual mining of the mine, the affiliation and non-affiliation degrees of the waste rock, tailing sand, wastewater and waste gas of Dongguashan Copper Mine are calculated with reference to the affiliation and non-affiliation degrees of the evaluation criteria.