为了解决旱涝灾害的模糊不确定性问题, 克服以往旱涝灾害评价多采用主观方法确定各评价指标权重的诸多弊端, 采用基于主客观组合权重的模糊可变模型, 评价了旱涝灾害等级. 结果表明, 该模型采用可变模糊方法计算客观权重, 通过迭代使其满足预定的精度, 并在得出的客观权向量基础上利用层次分析法的主观权重予以调整, 实现了主客观权重的融合, 比单纯的主观权重更科学, 又通过权重组合下的模糊可变模型参数变换进行灾害评价, 得到了稳定而可靠的评价结果. 该成果对防灾减灾决策实践有一定参考价值和指导意义.
Abstract
In order to solve the fuzzy uncertainty problems of droughts and floods disaster, and to overcome the drawbacks of previous evaluation on floods and droughts which mainly used subjective weighting method to determine the weight of each index, the paper proposed fuzzy variable model with combined weights to evaluate the degree of droughts and floods. The results showed that this method used fuzzy variable model to calculate objective weight and adjusted it by AHP after satisfying the intended accuracy so as to achieve the integration of subjective and objective weight, which was more scientific than simple subjective methods. Also, making use of fuzzy variable model's parameter transformation under the combined weights to evaluate the disaster increased the stability and reliability of the conclusions. The results make instructive sense of disaster prevention and mitigation practice.
关键词
可变模糊集 /
层次分析法 /
组合权重 /
模糊可变模型 /
相对隶属度 /
旱涝灾害评价
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Key words
variable fuzzy sets /
AHP /
combined weights /
fuzzy variable model /
relative membership degree /
evaluation of droughts and floods
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中图分类号：
O159
S423
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参考文献
[1] 周惠成, 张丹.可变模糊集理论在旱涝灾害评价中的应用[J].农业工程学报, 2009, 25(9): 56-61.Zhou H C, Zhang D. Assesment model of drought and flood disasters based on variable fuzzy set theory[J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(9): 56-61.
[2] 国家科委全国重大自然灾害综合研究组.中国重大自然灾害及减灾对策(分论)[M].北京:科学出版社, 1993.National Science and Technology Commission National Study Group of Major Natural Disaster. Chinese major natural disasters and mitigation measures (subs)[M]. Beijing: Science Press, 1993.
[3] McKee T B, Doesken N J, Kleist J. The relationship of drought frequency and duration to time scales[C]// Proceedings of 8th Conference on Applied Climatology, American Meteorological Society, Boston: Massachusetts, 1993: 179-184.
[4] 冯平, 钟翔, 张波.基于人工神经网络的干旱程度评估方法[J].系统工程理论与实践, 2000, 20(3): 141-144.Feng P, Zhong X, Zhang B. A drought degree evaluation method based on the artificial neural network[J]. Systems Engineering-Theory & Practice, 2000, 20(3): 141-144.
[5] 陈南祥, 李士辉,杨莉.灰色模糊聚类理论在干旱评价中的应用[J].华北水利水电学院学报, 2007, 28(2): 4-7.Chen N X, Li S H, Yang L. Application about the grey-fuzzy cluster theory in the arid evaluation[J]. Journal of North China Institute of Water Conservancy and Hydroelectric Power, 2007, 28(2): 4-7.
[6] 王艳玲.区域干旱模糊综合评价研究[D].济南:山东大学, 2007.Wang Y L. Fuzzy comprehensive evaluation of the regional drought[D]. Jinan: Shandong University, 2007.
[7] 陈守煜.工程可变模糊集理论与模型-模糊水文水资源学数学基础[J].大连理工大学学报, 2005, 45(2): 308-312.Chen S Y. Theory and model of engineering variable fuzzy set-Mathematical basis for fuzzy hydrology and water resources[J]. Journal of Dalian University of Technology, 2005, 45(2): 308-312.
[8] Zadeh L A. Fuzzy sets[J]. Information and Control, 1965, 8(3): 338-353.
[9] 陈守煜.论相对隶属度[J].大自然探索, 1993, 12(2): 25-27.Chen S Y. Discussion of relative membership degree[J]. Discovery of Nature, 1993, 12(2): 25-27.
[10] 陈守煜.相对隶属函数的系统辨证论哲学基础[J].系统辨证学学报, 1996, 4(2): 26-29.Chen S Y. Philosophical basis of systemic dialectical theory of relative subordinate function[J]. Journal of Systemic Dialectics, 1996, 4(2): 26-29.
[11] Chen S Y. Relative membership function and new frame of fuzzy sets theory for pattern recognition[J]. The Journal of Fuzzy Mathematics, 1997, 5(2): 401-411.
[12] 陈守煜.工程模糊集理论及应用[M].北京:国防工业出版社, 1998.Chen S Y. Engineering fuzzy sets theory and applications[M]. Beijing: National Defence Industry Press, 1998.
[13] 陈守煜.水资源与防洪系统可变模糊集理论与方法[M].大连:大连理工大学出版社, 2005.Chen S Y. Theory and method of variable fuzzy sets on water resources and flood control system[M]. Dalian: Dalian University of Technology Press, 2005.
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脚注
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基金
国家自然科学基金(50708013)
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