Authors
Jaewook Lee, Suk-Ho Kang, Jay Rosenberger, Seoung Bum Kim
Publication date
2010/4/1
Journal
Computers & Industrial Engineering
Volume
58
Issue
3
Pages
521-527
Publisher
Pergamon
Description
Because weapon systems are perceived as crucial in determining the outcome of a war, selecting weapon systems is a critical task for nations. Just as with other forms of decision analysis involving multiple criteria, selecting a weapon system poses complex, unstructured problems with a huge number of points that must be considered. Some defense analysts have committed themselves to developing efficient methodologies to solve weapon systems selection problems for the Republic of Korea’s (ROK) Armed Forces. In the present study, we propose a hybrid approach for weapon systems selection that combines analytic hierarchy process (AHP) and principal component analysis (PCA) to determine the weights to assign to the factors that go into these selection decisions. These weights are inputted into a goal programming (GP) model to determine the best alternative among the weapon systems. The proposed …
Total citations
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Scholar articles
J Lee, SH Kang, J Rosenberger, SB Kim - Computers & Industrial Engineering, 2010