DocumentCode :
2788184
Title :
A Study and improvement on positive and negative relation of grey incidence model
Author :
Xie, Huilin ; Cao, Mingxia ; Dang, Yaoguo
Author_Institution :
Coll. of Manage., China Univ. of Min. & Technol., Xuzhou, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
3320
Lastpage :
3322
Abstract :
Grey incidence analysis is a multiple factors method that the closeness of the multiple factor´s relationship is judged based on the similarity level of the geometric patterns of sequence curves. Therefore, slope differences of reference sequences and relevant sequences on every corresponding intervals is used to reflect the closeness of the sequences. The article defined the generalized variation coefficient and put forward a new kind of grey incidence model. This kind of model reflected the positive and negative relation of grey incidence degree to some extent. It is only relate to the geometric shapes of sequences, and has nothing to do with the spatial position of theirs. The method took full advantage of every intervals´ information and the positive and negative relations. At last, an example was given to prove the rationality and practicability.
Keywords :
geometry; grey systems; statistics; geometric shapes; grey incidence analysis; multiple factors method; negative relation; positive relation; reference sequences; relevant sequences; Computational modeling; Educational institutions; Electronic mail; Geometry; Microscopy; Pattern analysis; Shape; Space technology; Statistical analysis; Technology management; Degree of Grey Incidence; Grey incidence analysis; Positive and Negative Relation; Variation Coefficient;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5192194
Filename :
5192194
Link To Document :
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