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Wu J, Liu Y, Liu F, Gong H. Comprehensive evaluation of land reclamation schemes in mining areas based on linguistic intuitionistic fuzzy group decision-making. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:87380-87392. [PMID: 35802335 DOI: 10.1007/s11356-022-20952-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/16/2022] [Indexed: 06/15/2023]
Abstract
Schemes to protect the geological environment and reclaim land are core requirements for an application for mining rights and complying with mining regulations. Mining enterprises must be supervised to ensure they fulfill their obligations. To guide oversight of such schemes and to provide references for their compilation and review, this study evaluates land reclamation schemes in mining areas using a multi-attribute group decision-making method. First, linguistic intuitionistic fuzzy numbers are used to describe the evaluation information. Considering the authority and preferences of experts, methods for determining expert weights in four cases are established. Max-min deviation then determines the attribute weights, and a method for linguistic intuitionistic fuzzy group decision-making is proposed. Finally, the practicability of this method is verified through a comparative analysis of land reclamation schemes for four mining areas in Sichuan Province, China. The results show the proposed method to give simple and effective evaluation, making it reasonably applicable to the compilation and review of land reclamation schemes.
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Affiliation(s)
- Ju Wu
- College of Mathematics and Physics, Chengdu University of Technology, Chenghua, Chengdu, 610059, Sichuan, China
- School of Mathematics and Information Sciences, Neijiang Normal University, Dongxing, Neijiang, 641000, Sichuan, China
| | - Yi Liu
- School of Mathematics and Information Sciences, Neijiang Normal University, Dongxing, Neijiang, 641000, Sichuan, China
- Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Dongxing, Neijiang, 641000, Sichuan, China
| | - Fang Liu
- School of Mathematics and Information Sciences, Neijiang Normal University, Dongxing, Neijiang, 641000, Sichuan, China
- Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Dongxing, Neijiang, 641000, Sichuan, China
| | - Hao Gong
- College of Mathematics and Physics, Chengdu University of Technology, Chenghua, Chengdu, 610059, Sichuan, China.
- Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology, Chenghua, Chengdu, 610059, Sichuan, China.
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