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基于模糊理论的随机需求系统

毕娅^1,2, 林红¹, 李文锋¹

(1.武汉理工大学物流工程学院, 武汉 430063;2.湖北经济学院物流与工程管理学院, 武汉 430205)

Random Demand System Based on Fuzzy Theory

BI Ya^1,2, LIN Hong¹, LI Wen-Feng¹

(1.School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China;2.Hubei University of Economics, Wuhan 430205, China)

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本文已被：浏览 1909次下载 3824次
Received:September 15, 2010 Revised:November 24, 2010

中文摘要: 需求量是供销系统成本优化中的重要指标。目前常见的研究方法是采用泊松分布来拟合。通过数据统计和分析，我们发现采用模糊三角去拟合随机需求量有更好的拟合度和科学性。采用模糊理论对随机需求进行了建模分析，设计了随机需求系统的算法并最终对其进行了实现。

中文关键词: 随机需求泊松分布模糊三角最优需求量

Abstract:Demand is an important index of supply cost optimization system. The most common method of study is using poisson distribution to fit. Through the statistics and analysis, we found the triangle fuzzy function fitting the random demand have better fitting degree and scientific. This paper uses fuzzy theory to model the random demand system, then designs the system algorithm and realizes it.

keywords: random demand poisson distribution fuzzy triangle theory the optimal demand

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基金项目:湖北经济学院湖北省人文社科重点研究基地湖北物流发展研究中心课题基金(2011A03)

Author Name	Affiliation
BI Ya	School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China Hubei University of Economics, Wuhan 430205, China
LIN Hong	School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
LI Wen-Feng	School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China

Author Name	Affiliation
BI Ya	School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China Hubei University of Economics, Wuhan 430205, China
LIN Hong	School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
LI Wen-Feng	School of Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China

引用文本：
毕娅,林红,李文锋.基于模糊理论的随机需求系统.计算机系统应用,2011,20(6):12-16
BI Ya,LIN Hong,LI Wen-Feng.Random Demand System Based on Fuzzy Theory.COMPUTER SYSTEMS APPLICATIONS,2011,20(6):12-16