Title :
A method of multiple-factors intelligence analysis application for C4KISR system
Author :
Xingfu Xiao ; Hanbin Bai ; Zhanbin Zhang
Author_Institution :
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
There are many uncertainties in multiple-factors decision making problems so that the reliability and correctness of decision making results depend on the scientifically and reasonably confirmation of attribute weights, especially for C4KISR system. Combination assigning method based on optimal eigenvectors which uses multi-objective optimization to integrate subjective and objective weightings was presented in the study so that the limitations of both subjective assigning method and objective assigning method have been overcome. Furthermore, decision making model based on TOPSIS method was also established to obtain more reasonable and scientific method of weightings confirmation method for Multi-factors intelligence analysis problems.
Keywords :
decision making; eigenvalues and eigenfunctions; operations research; optimisation; C4KISR system; TOPSIS method; attribute weights; decision making correctness; decision making model; decision making reliability; multiobjective optimization; multiple factor intelligence analysis application; objective assigning method; objective weighting; optimal eigenvectors; subjective assigning method; subjective weighting; technique for order preference by similarity to ideal solution; weighting confirmation method; Artificial intelligence; Decision making; Entropy; Indexes; Proposals; Sorting; Vectors; C4KISR system; combination assigning; multi-factors intelligence analysis;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664606
