Wu Ju, Liu Yi, Liu Fang, Gong Hao
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.
Environ Sci Pollut Res Int. 2022 Dec;29(58):87380-87392. doi: 10.1007/s11356-022-20952-1. Epub 2022 Jul 8.
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.
地质环境保护与土地复垦方案是采矿权申请和遵守采矿法规的核心要求。必须对采矿企业进行监督，以确保其履行义务。为指导此类方案的监管并为其编制和审查提供参考，本研究采用多属性群决策方法对矿区土地复垦方案进行评估。首先，运用语言直觉模糊数来描述评估信息。考虑专家的权威性和偏好，建立了四种情况下确定专家权重的方法。然后通过最大最小偏差确定属性权重，并提出一种语言直觉模糊群决策方法。最后，通过对中国四川省四个矿区土地复垦方案的对比分析，验证了该方法的实用性。结果表明，该方法评估简单有效，合理适用于土地复垦方案的编制和审查。
