| 基于粗集理论的成都市交通可持续发展决策规则 |
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| 引用本文： | 龚灏,马致远,周仲礼. 基于粗集理论的成都市交通可持续发展决策规则[J]. 成都理工大学学报(自然科学版), 2008, 35(5) |
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| 作者姓名： | 龚灏 马致远 周仲礼 |
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| 作者单位： | 成都理工大学数学地质四川省重点实验室,成都,610059;成都理工大学数学地质四川省重点实验室,成都,610059;成都理工大学数学地质四川省重点实验室,成都,610059 |
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| 摘 要： | 在建立了成都市交通可持续发展评价指标体系的基础上,应用粗集理论,以Rosetta软件为工具,针对成都市的具体问题,建立了基于粗集理论的成都市交通可持续发展决策模型,并利用小波神经网络完成了识别检验,最后提取出了经检验有较高识别率的决策规则,为政府有关部门解决成都市交通可持续发展问题提供决策参考.
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| 关 键 词： | 粗集理论 小波神经网络 可持续发展 决策规则 |
Decision rules of sustainable development for the traffic in Chengdu based on rough set theory |
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| GONG Hao,MA Zhi-yuan,ZHOU Zhong-li. Decision rules of sustainable development for the traffic in Chengdu based on rough set theory[J]. Journal of Chengdu University of Technology: Sci & Technol Ed, 2008, 35(5) |
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| Authors: | GONG Hao MA Zhi-yuan ZHOU Zhong-li |
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| Affiliation: | GONG Hao,MA Zhi-yuan,ZHOU Zhong-liKey Laboratory of Geomathematics of Sichuan Province,Chengdu University of Technology,Chengdu 610059,China |
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| Abstract: | Based on the evaluation criterion system of the traffic sustainable development in Chengdu,this paper sets up a decision model of the traffic sustainable development in Chengdu using rough sets,countering some specific relative problems in Chengdu and with Rosetta Software.Moreover,it also finishes identification test by use of wavelet neural network.This paper finally extracts the high-identifiable-ratio decision rules by tests and provides some decision references for the relative government departments i... |
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| Keywords: | rough set wavelet neural network sustainable development decision rule |
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