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柴乃杰, 贾鼎元, 曾小雪.水资源承载力的灰色模糊可变决策模型及应用水资源与水工程学报[J].,2020,31(1):70-76
水资源承载力的灰色模糊可变决策模型及应用
Grey fuzzy variable decision model and its application for water resources carrying capacity
  
DOI:10.11705/j.issn.1672-643X.2020.01.11
中文关键词:  水资源承载力  熵权  最大离差法  博弈论  模糊可变决策模型
英文关键词:water resources carrying capacity  entropy weight  maximum deviation method  game theory  fuzzy variable decision model
基金项目:广西本科高校特色专业及实验实训教学基地(中心)建设项目; 广西自然科学基金项目(2018GXNSFDA281038); 国家自然科学基金项目(U1934216) ; 国家哲学社会科学基金项目(16BJY014)
作者单位
柴乃杰1, 贾鼎元2, 曾小雪1 (1.贺州学院 建筑工程学院 广西 贺州 542800 2.中铁工程设计咨询集团有限公司 北京 100055) 
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中文摘要:
      针对受多种不确定性、模糊性因素影响的水资源承载力评价问题,首先提出以模糊集理论为基础的模糊可变决策模型,其突出特点是模型及模型中的参数权向量可以调整与变化,有效地降低了评价结果的误差。其次,根据不同影响因素对目标重要性的不同,运用博弈论法将指标熵权与最大离差法权值进行集成,以确定水资源承载力指标的综合权重。最后,将可变模糊决策模型与方法用于甘肃省2006-2015年水资源承载力综合评价,并与已有文献结果进行对比。结果表明:2006-2015年甘肃省水资源承载力整体呈现下降趋势,灰色模糊可变决策模型的这一评价结果不仅准确性高,而且区分效果明显;同时也可为其他局域水资源承载力的分析提供参考。
英文摘要:
      Aiming at solving the problem of water resources carrying capacity evaluation influenced by various uncertainties and ambiguous factors, we proposed a fuzzy variable decision model based on fuzzy set theory, whose parameter weight vectors and the model itself are adjustable and the errors can be effectively reduced. According to the different importance level of different influencing factors, the game theory method was used to integrate the index entropy weight with the worst deviation weight to determine the comprehensive weight of the water resources carrying capacity index. Finally, the variable fuzzy decision model and method were applied to the comprehensive evaluation of water resources carrying capacity in Gansu Province from 2006 to 2015, and the results were verified by the existing findings. The results showed that the water resources carrying capacity of Gansu Province showed a decreasing trend in 2006-2015. It is found that the evaluation results of the grey fuzzy variable decision model are accurate and the differentiation effect is obvious. Our results can also guide the other analyses of local water resources carrying capacity.
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