DocumentCode
3410550
Title
Weighted degree of grey incidence based on optimization entropy
Author
Pei, Ling-ling ; Chen, Wan-ming ; Cui, Jun-fu ; Zhuang, Guo-bo
Author_Institution
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
340
Lastpage
343
Abstract
Based on the basic assumption of stable relationship among different factors in the grey system theory and grey sequence entropy, it presents a new method for the first time how to determine the weight of incidence coefficient in grey incidence analysis. By defining the distributing density value of weighted grey incidence coefficient, this paper composes a grey sequence in order to establish an optimization model of incidence coefficient weight. Moreover, this paper validates the validity and practicability of this method with examples. The results indicate that this method can reflect the significance of incidence coefficient at different time point, thereby the fluctuation of incidence coefficient can be controlled effectively, and the problem that the whole grey incidence sequence is controlled by partial point incidence coefficient can be solved.
Keywords
entropy; grey systems; optimisation; grey incidence analysis; grey incidence sequence; grey sequence entropy; grey system theory; incidence coefficient weight; optimization entropy; optimization model; point incidence coefficient; weighted degree; weighted grey incidence coefficient; Arithmetic; Control systems; Cost accounting; Distributed computing; Entropy; Fluctuations; Intelligent systems; Optimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408294
Filename
5408294
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