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General Information
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2015 Vol. 5(4): 271-276 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2015.V5.519

Expert System Development through the Decision-Making Process and Optimization for Classifying Strategic Items

Dong Hoon Shin and Jae-Woong Tae
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.

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