Title :
A hybrid multiple attribute decision-making approach for evaluating weapon systems under fuzzy environment
Author :
Shanliang Yang ; Song Wang ; Xiao Xu ; Ge Li
Author_Institution :
Coll. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Weapon system selection is a critical task for commanders because weapon systems have become the primary deciding factor to determine the results of battles. Weapon system evaluation and selection problem is usually regarded as a multiple attribute decision-making(MADM) problem under fuzzy environment. Therefore, a hybrid fuzzy MADM methodology is proposed to deal with weapon system selection in this paper. The entropy weighting method is employed to determine the importance weights of evaluation attributes. Then fuzzy TOPSIS approach is utilized to identify the overall performance values and ranking order of alternative weapon systems. Finally, a case study on missile system selection is given to demonstrate the usefulness and effectiveness of the proposed methodology.
Keywords :
TOPSIS; decision making; entropy; fuzzy set theory; military systems; weapons; MADM problem; alternative weapon systems; battles; commanders; entropy weighting method; evaluation attributes; fuzzy TOPSIS approach; fuzzy environment; hybrid fuzzy MADM methodology; hybrid multiple attribute decision-making approach; importance weights; missile system selection; performance values; ranking order; weapon system evaluation; weapon system selection; Decision making; Entropy; Fuzzy set theory; Missiles; Pragmatics; Vectors;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5147-5
DOI :
10.1109/FSKD.2014.6980833