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Developing an Expert System for Close Combat using Decision Tree  

Kim, Hyung-Se (충남대학교 컴퓨터공학과, 육군 전투지휘훈련단)
Moon, Ho-Seok (육군 전투지휘훈련단)
Lee, Dong-Keun (육군 전투지휘훈련단)
Hwang, Myung-Sang (주) 심네트)
Kim, Young-Kuk (충남대학교 컴퓨터공학과)
Publication Information
Journal of the military operations research society of Korea / v.36, no.3, 2010 , pp. 83-93 More about this Journal
Abstract
In this paper, we propose a new expert system for close combat in military war game model for training. Simulation logic for damage assesment is one of the main simulation functions in military war game. In Changcho 21's model which is the war game model for Republic of Korea Army corps and division, the main function of close combat's damage assessment has not been calculated by Changcho 21's model, but by COBRA which was made by US Army and has been the expert system for close combat. Results which were calculated in COBRA were sent to Changcho 21's model through a cable network. And Changcho 21's model finally calculated the value of damage assessment with the results. In this paper, we develop an new expert system for close combat using decision tree. The experimental results show that the proposed expert system has similar performance to COBRA and has less computing complexity. And it can substitute for COBRA and be applicable to battlefield.
Keywords
Expert System for Close Combat; Decision Tree; Combat Simulation logic; T-test;
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