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Identifying Core Robot Technologies by Analyzing Patent Co-classification Information

Asian Journal of Innovation and Policy / Asian Journal of Innovation and Policy, (P)2287-1608; (E)2287-1616
2019, v.8 no.1, pp.73-96
Kim, Chulhyun
Jeon Jeong-hwan
YONGYOON SUH
Koh Jin Hwan
Lee Sanghoon
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Abstract

This study suggests a new approach for identifying core robot tech-nologies based on technological cross-impact. Specifically, the approach applies data mining techniques and multi-criteria decision-making methods to the co-classification information of registered patents on the robots. First, a cross-impact matrix is constructed with the confidence values by applying association rule mining (ARM) to the co-classification information of patents. Analytic network process (ANP) is applied to the co-classification frequency matrix for deriving weights of each robot technology. Then, a technique for order performance by similarity to ideal solution (TOPSIS) is employed to the derived cross-impact matrix and weights for identifying core robot technologies from the overall cross-impact perspective. It is expected that the proposed approach could help robot technology managers to formulate strategy and policy for technology planning of robot area.

keywords
Core robot technology, patent co-classification, cross-impact analysis, association rule mining, analytic network process

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Asian Journal of Innovation and Policy