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Issue title: Artificial Intelligence and Advanced Manufacturing (AIAM 2020)
Guest editors: Shengzong Zhou
Article type: Research Article
Authors: Liu, Xiaomina | Liu, Haiyanb; * | Wan, Zhenga; c | Wang, Lifeid | Chen, Qionga
Affiliations: [a] Water Conservancy and Civil Engineering College of Inner Mongolia Agricultural University, Hohhot, China | [b] School of Computer & Communication Engineering of BeiJing Information Technology College, Beijing, China | [c] Water Resources Department of Inner Mongolia Autonomous Region, Hohhot, China | [d] Water Supplies Bureau of Husbandry in Hai Nan District of Wuhai, China
Correspondence: [*] Corresponding author. Haiyan Liu, School of Computer & Communication Engineering of BeiJing Information Technology College, Beijing, China. E-mail: [email protected].
Abstract: Water resources is an important basic energy. The determination of weights is one of the important indexes in water resources evaluation system and reasonable allocation of weights is the key to quantitative evaluation. In order to establish a scientific evaluation index system of the influence of mining disturbance on water resources for purpose of a more reliable and effective evaluation result and realizing the protection of water resources system, a comprehensive evaluation system of water resources based on PSO-AHP model is proposed in the paper. Combined with the specific geological environment characteristics of mines, this paper establishes a four-level evaluation index system after identifying the factors affecting water resources and ecological environment. By applying the particle swarm optimization (PSO) to the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method, a PSO-AHP model and then a fitness function are constructed to solve and optimize the weight values in the evaluation index system, and the calculated weight values are checked by consistency checking method. The evaluation results suggest that the index system can accurately reflect the impact of mining on water resources and water ecological environment and etc., providing certain reference value for sewage resourcing and reducing the harmful effect on environment by sewage discharge.
Keywords: Water resources, ecologically vulnerable area, particle swarm optimization, analytic hierarchy process, fuzzy comprehensive evaluation method
DOI: 10.3233/JIFS-189686
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4253-4264, 2021
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