JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Analysis of Relative Combat Power with Expert System
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Journal of Digital Convergence
  • Volume 14, Issue 6,  2016, pp.143-150
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2016.14.6.143
 Title & Authors
Analysis of Relative Combat Power with Expert System
Han, Seung-Jo;
  PDF(new window)
 Abstract
This paper`s aim is to suggest the Expert System for analyzing relative combat power in ground operations. Since relative combat power analysis in terms of comparing combat power of friendly forces with one of the enemy can determine how the commander and staffs operate their unit afterwards, it requires fast and rational decision-making process. However, it has relied on manual method so far though Tactical Information Communications Network(TICN) into which numbers of applications can be loaded has been developed over a decade. 3 methods for analyzing relative combat power were expressed as mathematic rules to be used knowledge in the expert system after reviewing previous studies, and it studied how intangible power as well as tangible were reflected on total combat power. The expert system that will be built using EXSYS Corvid tool is expected to lessen error rate, provide faster decision-making, and reflect both intangible combat power and tangible one by using an appropriate weights in analyzing relative combat power. Next research filed includes how to build expert systems related with military personnel and intelligence areas for fast and rational decision-making processes.
 Keywords
Expert System;Ground Operations;Relative Combat Power Analysis;Decision-making;TICN;
 Language
Korean
 Cited by
 References
1.
Army Headquarters, FM 61-10 [ATCIS Operation], 2012.

2.
Y. Lee, K. Kim, H. Na, and J. Park, "A Fuzzy AHP based Decision making Model for ground operations", The Korean Society for Simulation, Vol. 17, No. 4, pp. 159-165, 2008.

3.
M. Kwon, "Study on Framework for Expert System Regarding Ground Tactics", Proceeding of Korea Intelligent Information System Society, pp. 299-304, 2006.

4.
Army Headquarters, FM 0-6 [Commander and Staffs], 2012.

5.
N. Kim, "A study on methods for analyzing relative combat power", Combat Development, Vol. 110, pp. 124-144, 2002.

6.
E. Rich, and K. Knight, Artificial Intelligence, McGraw-Hill Inc., New York, NY, USA, 1991.

7.
C. Lee, and M. Wang, "A Fuzzy Expert System for Diabetes Decision Support Application", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 41, No. 1, pp. 139-153, 2011. crossref(new window)

8.
M. Ipek, I. Selvi, et. al., "An expert system based material selection approach to manufacturing", Materials and Design, Vo. 47, pp. 331-340, 2013. crossref(new window)

9.
P. Vansteenwgen, W. Souffriau, et al., "The city trip planner: An expert system for tourists", Expert Systems with Applications, Vol. 38, pp. 6540-6546, 2011. crossref(new window)

10.
W. Kim, K. Lee, and B. Choi, "A Study on the Expert System Development for Fire Allocation of Aircraft and Artillery", Proceeding of Korea Intelligent Information System Society, pp. 443-453, 2000.

11.
W. Kim, J. Lee, "A Study on the Knowledge Base Development of Expert System for Naval Combat System", Proceeding of Korea Intelligent Information System Society, pp. 183-192, 2002.

12.
S. Han, "Effects of asymmetric load on low back and workers-oriented expert system for evaluating low back loading", Dankook Univ., Ph.D. Thesis, 2012.

13.
D. Yang, S. Han, J. Park, "Expert System for evaluating relative combat power in ground operations", Preceeding of Society of Korea Industrial and Systems Engineering, pp. 171-176, 2013.

14.
DOI : http://www.exsys.com. 2016. 04. 16

15.
S. Han, S. Kim, K. Koo, and S. Kim, "The expert system based on meta-knowledge for troop leading procedure", Preceeding of Society of Korea Industrial and Systems Engineering, pp. 153-158, 2012.

16.
S. Han, S. Kim, S. Park, and N. Sun, "Expert system applicable to troop leading procedure using AHP-based meta-knowledge", Preceeding of The Korea Institute of Military Science and Technology, pp. 7-13, 2013.

17.
J. Park, "A study on determinating the priority of tactical considerations(METT+TC) for an effective decision-making in military operations", Yeungnam Univ., Ph.D. Thesis, 2014.

18.
B. Lee, "A Study on Security of Virtualization in Cloud Computing Environment for Convergence Services", Journal of the Korea Convergence Society, Vol. 5, No. 4, pp. 93-99, 2014. crossref(new window)

19.
K. Lee, "Analysis of Threats Factor in IT Convergence Security", Journal of the Korea Convergence Society, Vol. 1, No. 1, pp. 49-55, 2010.