A new computation model of grey incidence degree met four axioms and its application in OFR

被引:0
|
作者
Zai, YD [1 ]
Liu, B [1 ]
Liu, SF [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing, Peoples R China
关键词
Grey system; Grey incidence degree; computation model; OFR (Outsourcing of firm's resource);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The basic principle of Grey incidence analysis is to judge compactness of sequences according to the extent of geometry similitude between data curves. By Grey incidence analysis, we can find the osculation extent between system behaviors data. Since Prof Deng established this analysis method in 1980's, some computation methods are developed, but according to the four Grey incidence axioms developed by Prof Deng, there is all more or less unseemliness in these computation models. Based on the theories of Grey incidence theory, in this paper we summarize firstly several representative Grey incidence computation models of present. Then, we point out their shortcomings respectively and review them simply. Furthermore, seeing into the meaning of Grey incidence axioms, we establish a new computation model of Grey incidence degree ----- Integrated Model, which considers the absolute differences and relative differences of data sequences and gets over the shortcomings of present models. Lastly, we prove this computation model to be scientific and to satisfy the four Grey Incidence Axioms, and then with this model we analyze the outsource of firm's resource.
引用
收藏
页码:611 / 615
页数:5
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