# Quality Evaluation of Wasteless Mining in Dongguashan Based on Intuitionistic Fuzzy Set and VIKOR
###### Abstract  
Wasteless mining has become the mainstream mode of China's mining industry, which is an environmentally friendly and sustainable mining method. To effectively evaluate the construction of a green mine, the wasteless mining evaluation method was proposed, based on the intuitionistic fuzzy set theory and the Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) decision-making method in this study. Firstly, the intuitionistic fuzzy sets for six indicators (such as waste rock utilization, tailing sand utilization and the current mining situation) of the Dongguashan Copper Mine were established, based on the intuitionistic fuzzy set theory and the national standard system. Secondly, referring to the green mine evaluation system, the index weights were calculated with the Analytic Hierarchy Process (AHP) method. Finally, the above intuitionistic fuzzy set matrix was ranked by the VIKOR method. The calculation results show that the group utility value of this mine is 0.1943 \(\in\) (0.0.2), which is at level I; the individual regret value is 0.0916 \(\in\) (0.075,0.15), which is at level II; the compromise value is 0.2193 \(\in\) (0.2,0.4), which is at level II. Through comprehensive assessment, the final evaluation of the wasteless mining in the Dongguashan Copper Mine is Grade II. The Dongguashan Copper Mine is one of the first mining enterprises subject to the transformation into wasteless mining in China. The results of the final evaluation are consistent with the current status of wasteless mining in the Dongguashan Copper Mine. wasteless mining; green mine; intuitionistic fuzzy set; evaluation method 2022128249912682491202212824912022128249120221282491202212824912022  
direction of development for green mining, and discussed the advantages of backfill mining technology. [PERSON] et al. [10] performed a feasibility analysis on mining waste recycling management by using the concept of the circular economy. At present, some of the mining enterprises in China are trying to transform to wasteless mining production. To standardize the industry standard of wasteless production in mines, the evaluation method of wasteless mining should also be gradually established. In this regard, [PERSON] [11] proposed a comprehensive index evaluation of the wasteless mining and established neural network evaluation methods and judging criteria. [PERSON] [12] conducted a quantitative analysis of wasteless mining in mines. [PERSON] et al. [13,14] carried out a study on wasteless mining evaluation and established a numerical model for the comprehensive evaluation of wasteless mining, based on a fuzzy mathematical method. Through the Phillips environmental sustainability mathematics (PESM) model, [PERSON] and [PERSON] et al. [15] investigated the impact of Khewra mine (the second largest salt mine in the world) on the surrounding environment. The above assessment methods have practical value, but also have some limitations. For example, the neural network algorithm is computationally tedious and may ignore the original data, which affects the accuracy of the evaluation results [16]; the fuzzy hierarchical analysis method is subjective in determining the index weights; in the TOPSIS method, the weight of the distance between the evaluation object and the positive and negative ideal solutions in the calculation process is not considered, and the optimal solution obtained may not be the closest to the ideal point [17]. Both the affiliation, non-affiliation and hesitation degrees are considered in intuitionistic fuzzy sets. Compared with fuzzy sets, intuitionistic fuzzy sets can efficiently express information and characterize the uncertainty of evaluators. In the VIKOR algorithm, the situation can be avoided in which the individual negative indicators are ignored and neutralized by other indicators, and the compromise evaluation can be performed according to the order of group utility maximization and individual regret value minimization.