Abstract—International export control regimes such as
Nuclear Suppliers Group strongly urge member states to
control exports of strategic items used in the development,
production, or use of WMD. South Korea is complying with
these export control laws. There are two important rules within
those laws: classification and export licensing. Classification
means checking whether exported items are strategic items,
based on export-control specifications. However, these
specifications are sometimes ambiguous or qualitative. Thus,
there are many problems in maintaining or securing
consistency and objectivity in classifications. Here, we
optimized classification through analyzing expert review
processes, establishing review criteria, and developing a
database to address these problems. Finally, we developed two
expert systems for classification decisions. Because these
systems are the first in the field of export control, we will use the
systems for classification, and will improve the criteria and/or
database to strengthen their performance.
Index Terms—Nuclear suppliers group, strategic items,
export control, classification, expert system.
The authors are with the Korea Institute of Nuclear nonproliferation and
control (KINAC), 1534 Yuseong-daero, Yuseong-gu, Daejeon, 305-348,
Republic of Korea (e-mail: nucleo@kinac.re.kr, tjwtjwtjw@kinac.re.kr).
Cite: Dong Hoon Shin and Jae-Woong Tae, "Expert System Development through the Decision-Making Process and Optimization for Classifying Strategic Items," International Journal of Machine Learning and Computing vol. 5, no. 4, pp. 271-276, 2015.