DocumentCode :
3493328
Title :
On the multiple-attribute incidence decision model for interval numbers
Author :
Dang, Yaoguo ; Liu, Sifeng ; Liu, Bin
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., China
fYear :
2005
fDate :
19-22 March 2005
Firstpage :
711
Lastpage :
715
Abstract :
The distance of interval number and its characteristics were defined in this paper first, then based on the theories on the degree of grey incidence, namely, the more similar the curves are, the higher degree of incidence between sequences, we defined the incidence degree of interval number and discussed its characteristics. All this extended the degree of grey incidence from real number sequence to interval number sequence and widened the theories on degree of grey incidence. At the same time, not only did the grey incidence of interval number extended the applied fields, but also provided the theory basis for applying grey incidence analysis method.
Keywords :
decision theory; grey systems; grey incidence analysis method; grey incidence degree; interval number sequence; interval numbers; multiple-attribute incidence decision model; real number sequence; Data analysis; Engineering management; Mathematical model; Production; Supply chain management; Systems engineering and theory; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
Print_ISBN :
0-7803-8812-7
Type :
conf
DOI :
10.1109/ICNSC.2005.1461277
Filename :
1461277
Link To Document :
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