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http://dx.doi.org/10.5392/JKCA.2019.19.07.099

Using a Hybrid Model of DEA and Decision Tree Algorithm C5.0 to Evaluate the Efficiency of Ports  

Hong, Han-Kook (동의대학교 경영정보학부)
Leem, Byung-hak (부산외국어대학교 경영학부)
Kim, Sam-Moon (동의대학교 응용소프트웨어공학과)
Publication Information
The Journal of the Korea Contents Association / v.19, no.7, 2019 , pp. 99-109 More about this Journal
Abstract
Data Envelopment Analysis (DEA), a non-parametric productivity analysis tool, has become an accepted approach for assessing efficiency in a wide range of fields. Despite of its extensive applications, some features of DEA remain bothersome. For example DEA is good at estimating "relative" efficiency of a DMU(Decision Making Unit), it only tells us how well we are doing compared with our peers but not compared with a "theoretical maximum." Thus, in order to measure efficiency of a new DMU, we have to develop entirely new DEA with the data of previously used DMUs. Also we cannot predict the efficiency level of the new DMU without another DEA analysis. We aim to show that DEA can be used to evaluate the efficiency of ports and suggest the methodology which overcomes the limitation of DEA through hybrid analysis utilizing DEA along with C5.0. We can generate classification rules C5.0 in order to classify any new Port without perturbing previously existing evaluation structures by proposed methodology.
Keywords
DEA; C5.0; Tier Analysis; CCR; AI;
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