Underground Mining Method Selection With the Hesitant Fuzzy Linguistic Gained and Lost Dominance Score Method
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Underground mining method selectionMultiple criteria decision makinghesitant fuzzy linguistic term setscore functiongained and lost dominance score methodweight determination
Fu, Z., Wu, X., Liao, H., & Herrera, F. (2018). Underground mining method selection with the hesitant fuzzy linguistic gained and lost dominance score method. IEEE Access, 6, 66442-66458.
SponsorshipNational Natural Science Foundation of China under Grant 71501135 and Grant 71771156; 2019 Sichuan Planning Project of Social Science under Grant SC18A007; 2018 Key Project of the Key Research Institute of Humanities and Social Sciences in Sichuan Province under Grant Xq18A01 and Grant LYC18-02; Electronic Commerce and Modern Logistics Research Center Program, Key Research Base of Humanities and Social Science, Sichuan Provincial Education Department, under Grant DSWL18-2; Spark Project of Innovation, Sichuan University, under Grant 2018hhs-43; Scientific Research Foundation for Excellent Young Scholars, Sichuan University, under Grant 2016SCU04A23.
Underground mining method selection is a critical decision problem for available underground ore deposits in exploitation design. As many comprehensive factors, such as physical parameters, economic benefits, and environmental effects, are claimed to be established and a group of experts are involved in the issue, the underground mining method selection is deemed as a multiple experts multiple criteria decision making problem. Classical mining method assessment exists some gaps due to the way of representing opinions. To address this matter, a hesitant fuzzy linguistic gained and lost dominance score method is investigated in this paper. To enhance the flexibility and gain more information, mining planning engineers are allowed to convey their knowledge using hesitant fuzzy linguistic term sets in the underground mining method selection process. A novel score function of hesitant fuzzy linguistic term set is introduced to compare any hesitant fuzzy linguistic term sets. Then, based on the score function, a weight determining function is proposed to calculate the weights of criteria, which can magnify the ‘‘importance’’ and ‘‘unimportance’’ of criteria. To select the mining method, the hesitant fuzzy linguistic gained and dominance score method is developed. A case study concerning selecting a extraction method for a real mine in Yunnan province of China is presented to illustrate the applicability of the proposed method. The effectiveness of the proposed method is finally verified by comparing with other ranking methods