摘要
在灰色系统理论缓冲算子公理体系下,利用反向累积和的概念,构造了l阶反向累积和算术平均强化缓冲算子及l阶反向累积和几何平均强化缓冲算子.给出并证明了其强化缓冲算子的性质和算子作用后序列之间的大小关系.该类算子具有普适性,当阶数等于1时即为党氏强化缓冲算子.最后通过一个实例验证了该算子的有效性.
Under the grey systems theory buffer operations' axiom, based on the present strengthening buffer operator, using the concept of back cumulative-sum, this paper proposes new buffer operators, l-BCASBO and l- BCGASBO. Their characters and the relationship of data series after cumputing are studied by these two kinds of operators, which are general Operators. When l is 1, they are Dang's strengthening buffer operators. Finally, an example shows the effectiveness of the operators.
出处
《控制与决策》
EI
CSCD
北大核心
2009年第3期352-355,360,共5页
Control and Decision
基金
国家自然科学基金项目(70473037)
教育部博士学科点基金项目(20020287001)
南京航空航天大学引进人才基金项目(S0742-094)
关键词
灰色系统
预测与决策
反向累积法
缓冲算子
强化算子
Grey systems
Foreasting and decision-making
Back cumulative-sum method
Buffer operator
Strengthening operator