DocumentCode :
2106923
Title :
Network performance comprehensive evaluation based on entropy of vague set and similarity measure
Author :
Yuan Qian ; Ying Guo ; Jun Song ; Ke Fu
Author_Institution :
Inf. & Navig. Inst., Air Force Eng. Univ., Xi´an, China
fYear :
2012
fDate :
9-11 Nov. 2012
Firstpage :
555
Lastpage :
559
Abstract :
Aimed at the problem of network performance evaluation, a new method based on vague set is proposed. First the network performance attributes are confirmed, then the sample data is transformed to vague value data and weights of attribute are calculated by use of entropy of vague set, finally network performance is evaluated by means of integrating vague set entropy weight with similarity measure. A new transforming formula from single value data to the vague value data and a new formula for similarity measure between vague sets are presented. The results show that the method can make good use of the fuzzy and uncertainty information, the evaluation result is more reasonable and objective.
Keywords :
entropy; fuzzy set theory; performance evaluation; telecommunication networks; fuzzy information; network performance comprehensive evaluation; sample data transformation; uncertainty information; vague set entropy weight; vague value data set method; Network performance evaluation; entropy weight; similarity measure; transforming formula; vague set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Technology (ICCT), 2012 IEEE 14th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-2100-6
Type :
conf
DOI :
10.1109/ICCT.2012.6511419
Filename :
6511419
Link To Document :
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