Patents by Inventor Mi-Yung Chen

Mi-Yung Chen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Clustering triz analysis method
    Patent number: 7958078
    Abstract: The TRIZ decision process of the clustering method proposed by this invention uses the characteristics and invention rules from the contradiction matrix table resulting from massive quantities of patent inferences to find a similar or approximate character group and invention rule group of the physical meanings, and also applies statistics to calculate the number of display times of the groups to be the basic foundation. Apart from the number of display times, Bayes probability, fuzzy object oriented method and Bayes probability combined with fuzzy object oriented method can be used as the system. The reading value is utilized as a foundation for prioritizing the sequence of consideration for the groups, in which the system reading value constructed by different models gives designers lots of options to perform the reading, so as to acquire the undesired result features of the prioritized consideration.
    Type: Grant
    Filed: January 4, 2008
    Date of Patent: June 7, 2011
    Assignee: National Taiwan University of Science and Technology
    Inventors: Zone-Ching Lin, Mi-Yung Chen
  • CLUSTERING TRIZ ANALYSIS METHOD
    Publication number: 20080294658
    Abstract: The TRIZ decision process of the clustering method proposed by this invention uses the characteristics and invention rules from the contradiction matrix table resulting from massive quantities of patent inferences to find a similar or approximate character group and invention rule group of the physical meanings, and also applies statistics to calculate the number of display times of the groups to be the basic foundation. Apart from the number of display times, Bayes probability, fuzzy object oriented method and Bayes probability combined with fuzzy object oriented method can be used as the system. The reading value is utilized as a foundation for prioritizing the sequence of consideration for the groups, in which the system reading value constructed by different models gives designers lots of options to perform the reading, so as to acquire the undesired result features of the prioritized consideration.
    Type: Application
    Filed: January 4, 2008
    Publication date: November 27, 2008
    Applicant: NATIONAL TAIWAN UNIVERSITY OF SCIENCE & TECHNOLOGY
    Inventors: Zone-Ching Lin, Mi-Yung Chen