• DocumentCode
    2419634
  • Title

    Combining Single Input/Single Output Fuzzy Decision Trees

  • Author

    Morphet, Steven B. ; Morphet, Leanne B.

  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1792
  • Lastpage
    1798
  • Abstract
    One widely used technique for modeling large systems entails decomposing the system along logical partitions, modeling each partition with a subsystem, and then linking the subsystems as dictated by the original decomposition. Unfortunately, understanding the overall model is often hindered by the ad hoc nature of the confederated subsystems. However, tightly coupling these subsystems allows them to be viewed at a higher level of abstraction, thus aiding understanding. Unfortunately, combining fuzzy systems is typically an inexact process. However, by employing certain postulates (including, but not limited to, the defuzzification method), fuzzy systems may be combined in a mathematically exact fashion. We propose employing yet another defuzzifier (YAD) and develop the necessary and sufficient theory for combining fuzzy systems.
  • Keywords
    decision trees; fuzzy set theory; fuzzy systems; large-scale systems; SISO fuzzy systems; large system modeling; single input/single output fuzzy decision trees; yet another defuzzifier; Binary trees; Buildings; Decision trees; Fuzzy control; Fuzzy sets; Fuzzy systems; Joining processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2006 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9488-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.2006.1681948
  • Filename
    1681948