• DocumentCode
    3746247
  • Title

    Type-2 genetic-fuzzy mining with tuning mechanism

  • Author

    Chun-Hao Chen;Yu Li;Tzung-Pei Hong

  • Author_Institution
    Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan
  • fYear
    2015
  • Firstpage
    296
  • Lastpage
    299
  • Abstract
    In this paper, we propose an approach for mining both type-2 membership functions and fuzzy association rules. The 2-tuple linguistic representation is utilized to encode type-2 membership functions into chromosomes. After the genetic evolution, the tuned type-2 membership functions are used to induce fuzzy association rules. Experiments on a simulated dataset are made to show the merit of the proposed approach.
  • Keywords
    "Biological cells","Sociology","Statistics","Fuzzy systems","Itemsets"
  • Publisher
    ieee
  • Conference_Titel
    Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on
  • Electronic_ISBN
    2376-6824
  • Type

    conf

  • DOI
    10.1109/TAAI.2015.7407128
  • Filename
    7407128
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3746247