• DocumentCode
    2148174
  • 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
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    5
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5576176
  • Filename
    5576176