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http://dx.doi.org/10.5391/JKIIS.2002.12.6.549

A Knowledge-Based Linguistic Approach for Researcher-Selection  

Lim, Joon-Shik (경원대학교 소프트웨어학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.12, no.6, 2002 , pp. 549-553 More about this Journal
Abstract
This paper develops knowledge-based multiple fuzzy rules for researcher-selection by automatic ranking process. Inference rules for researcher-selection are created, then the multiple fuzzy rule system with max-min inference is applied. The way to handle for selection standards according to a certain criteria in dynamic manner, is also suggested in a simulation model. The model offers automatic, fair, and trust decision for researcher-selection processing.
Keywords
지식기반;학술전문가 선정;다중규칙;
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