模糊优选神经网络模型在水资源价值评价中的应用
A Model of Fuzzy Optimization Neural Networks and Its Application in Water Resources Value Evaluation

作者: 邱林 , 任国源 , 王文川 , 雷冠军 , 闫海龙 :华北水利水电大学水利学院,河南 郑州;

关键词: 水资源价值评价模糊优选神经网络可变模糊集Evaluation of Water Resources Value Fuzzy Optimization Neural Networks Variable Fuzzy Sets

摘要: 为了克服水资源价值评价中可变模糊综合评价模型的平方准则、距离参数及权重确定方法选取主观性的不足,本文在综合模糊优选模型和神经网络理论的基础上,运用神经网络的自学习能力,通过网络结构的调整自主获得指标权重,提出了基于模糊优选神经网络的水资源价值评价模型。提出的模型通过利用水资源价值模糊综合评价指数,将反映水资源价值不同层次的各种因素综合起来,反映与水资源有关的诸要素的影响。将提出的模型运用到济南市的水资源价值的综合评价中,结果表明模糊优选神经网络模型的评价结果不但与可变模糊综合评价模型相近,而且能够克服可变模糊综合评价模型中的人工定参数的不足,具有较强的实用性,为水资源价值评价提供了一个很好的途径。

Abstract: In order to overcome the insufficient of strong subjectivity of the square criterion, the distance parameter selection and weight determination method of the variable fuzzy comprehensive evaluation model in the evaluation of the value of water resources, on the basis of the comprehensive fuzzy optimization model and neural network theory, this paper, using neural network self-learning ability and through the adjustment of the network independent to obtain index weight, proposes the water resources value evaluation model based on the fuzzy optimization neural network. The proposed model will be integrated with various factors, which can reflect the different levels of water resources value, and reflect the influence and water resource related factors. The proposed model is used in the comprehensive evaluation of Jinan water resources value, and the results show that the evaluation results of the fuzzy optimization neural network model not only are similar to variable fuzzy comprehensive evaluation model, but also can overcome the strong subjectivity from artificial set parameters in variable fuzzy comprehensive evaluation model. It has stronger practicability, and provides a good way for the water resources value evaluation.

文章引用: 邱林 , 任国源 , 王文川 , 雷冠军 , 闫海龙 (2015) 模糊优选神经网络模型在水资源价值评价中的应用。 水资源研究, 4, 320-329. doi: 10.12677/JWRR.2015.44039

参考文献

[1] 李金昌. 自然资源核算初探[M]. 北京: 中国环境科学出版社, 1990: 23-25. LI Jinchang. The natural resources accounting. China Environmental Science Press, 1990: 23-25. (in Chinese)

[2] 李金昌. 自然资源价值理论和定价方法研究[J]. 中国人口, 1991, 1: 21-26. LI Jinchang. Value pricing theory and method research of natural resources. The Population of China, 1991, 1: 21-26. (in Chi-nese)

[3] 胡长暖. 资源价格研究[M]. 北京: 中国物价出版社, 1993: 17-18. HU Changnuan. Study on the price of resources. Beijing: China Prices Press, 1993: 17-18. (in Chinese)

[4] 姜文来, 王华东. 我国水资源价值研究的现状及展望[J]. 地理学与国土资源研究, 1996, 12(1): 1-5. JIANG Wenlai, WANG Huadong. The status quo of water resources value and prospects in China. Geography and the Study of Land and Resources, 1996, 12(1): 1-5. (in Chinese)

[5] 姜文来, 武霞, 林桐枫. 水资源价值模型评价研究[J]. 地球科学进展, 1998, 13(2): 178-183. JIANG Wenlai, WU Xia and LIN Tongfeng. The research of value-model assessment about the value of water resource. Advance in Earth Sciences, 1998, 13(2): 178-183. (in Chinese)

[6] 姜文来. 水资源价值论[M]. 北京: 海洋出版社, 1990: 107-109. JIANG Wenlai. Value theory of water resource. Beijing: Maritime Press, 1990: 107-109. (in Chinese)

[7] 韦林均, 伏小勇, 陈学明. 基于模糊AHP法定权的水资源价值灰色评价模型及应用[J]. 计算机技术, 2006, 11(32): 93-95. WEI Linjun, FU Xiaoyong and CHEN Xueming. Fuzzy AHP based grey assessment model for water resource value and its ap-plication. Computer Technology, 2006, 11(32): 93-95. (in Chinese)

[8] 张国珍, 李毅华, 褚润. 兰州市水资源价值计算研究[J]. 干旱区资源与环境, 2008, 22(4): 108-112. ZHANG Guozhen, LI Yihua and CHU Run. Valuation and calculation of water resources in Lanzhou. Journal of Arid Land Resources and Environment, 2008, 22(4): 108-112. (in Chinese)

[9] 董胜男, 孙秀玲, 徐晓儒. 模糊可变评价模型在水资源价值评价中的应用[J]. 人民黄河, 2009, 31(11): 54-55. DONG Shengnan, SUN Xiuling and XU Xiaoru. The fuzzy variable assessment model in the application of water resources value evaluation. Yellow River, 2009, 31(11): 54-55. (in Chinese)

[10] 陈守煜. 工程可变模糊集理论与应用[M]. 北京: 国防工业出版社, 1998. CHEN Shouyu. Variable fuzzy sets theory and application. Beijing: National Defence Industry Press, 1998. (in Chinese)

[11] 陈守煜. 可变模糊集理论与模型及其应用[M]. 大连: 大连理工大学出版社, 2009. CHEN Shouyu. Variable fuzzy sets theory and model and its application. Dalian: Dalian University of Technology Press, 2009. (in Chinese)

[12] 黄德春, 许长新, 任欢. 模糊优选神经网络及其在综合后评价中的应用[J]. 河海大学学报, 2004, 32(3): 332-336. HUANG Dechun, XU Changxin and REN Huan. Fuzzy optimum selection-based BP neural network and its application to comprehensive post-evaluation. Journal of Hohai University (Natural Science), 2004, 32(3): 332-336. (in Chinese)

[13] 陈守煜, 李敏. 可变模糊优选神经网络综合评价模型[J]. 水电能源科学, 2006, 24(6): 5-9. CHEN Shouyu, LI Min. Model of variable fuzzy optimum neural network for comprehensive assessment. Water Resources and Power, 2006, 24(6): 5-9. (in Chinese)

[14] 陈守煜, 聂相田, 朱文彬, 王国利. 模糊优选神经网络模型及其应用[J]. 水科学进展, 1999, 10(1): 69-74. CHEN Shouyu, NIE Xiangtian, ZHU Wenbin and WANG Guoli. A model of fuzzy optimization neural networks and its ap-plication. Advances in Water Science, 1999, 10(1): 69-74. (in Chinese)

分享
Top