Title :
Appraising Patent by Using Maximum Spanning Tree Clustering Method
Author :
Ji Yicheng ; Zou Zhen
Author_Institution :
Dept. of Public Finance Sch. of Econ., Xiamen Univ., Xiamen, China
Abstract :
The value of patent right is always affected by multiple and complex factors at various degrees. Traditional appraisal methods usually only take few and simple factors into account, therefore it cannot objectively reflect the value. However, fuzzy clustering method considers the weights of various factors; thus it can overcome the disadvantages of traditional methods. This article attempts to introduce Maximum Spanning Tree Clustering Method (MSTCM), which is the most commonly used method of fuzzy clustering, to the appraisal of patent right. And set a will-be-transacted Invention Patent as an example to discuses the relevant issues.
Keywords :
appraisal; fuzzy set theory; patents; statistical analysis; trees (mathematics); appraisal methods; fuzzy clustering method; invention patent; maximum spanning tree clustering method; patent right; Appraisal; Clustering methods; Correlation; Licenses; Monopoly; Patents; Technological innovation;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5576176