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Core Patent Identification Based on Rough Set Theory
Received date: 2014-11-13
Revised date: 2015-01-04
Online published: 2015-01-20
[Purpose/significance] This paper aims to study the feasibility and the method of analyzing patent information based on the rough set theory, and establish a rough set theory model to identify the core patent.[Method/process] Through a relevant literature core patent recognition in China and abroad, determines the system of core patent identification index, which includes 8 indicators, and then analyzes the patent information data using the rough set theory, and determines the weight coefficient of each index. According to the comprehensive index of the core patent calculation (CICP), the size of patent information sequence of a particular technology area is divided into the core patent, key patent, important patent and general patent. Taking 976 patents in the field of data communications as the sample identified 11 pieces of core patent, including patents which have won the Chinese patent awards. It proves the scientific nature and feasibility of the core patent identification model. [Result/conclusion] The patent information recognition model is general, and can be applied to the analysis of the research on patent value and importance.
Key words： core patent; patent indicator; analytic hierarchy process; rough set
Yuan Run , Qian Guo . Core Patent Identification Based on Rough Set Theory[J]. Library and Information Service, 2015 , 59(2) : 123 -130 . DOI: 10.13266/j.issn.0252-3116.2015.02.020
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