• DocumentCode
    3242172
  • Title

    Shadowed Type-2 Fuzzy Logic Systems

  • Author

    Wijayasekara, Dumidu ; Linda, Ondrej ; Manic, Milos

  • Author_Institution
    Univ. of Idaho, Idaho Falls, ID, USA
  • fYear
    2013
  • fDate
    16-19 April 2013
  • Firstpage
    15
  • Lastpage
    22
  • Abstract
    General Type-2 Fuzzy Logic Systems (GT2 FLSs) are an extension to Type-1 (T1) FLS where at least one Fuzzy Set (FS) is a GT2 FS. However, due to the high computational complexity of operations on GT2 FSs, GT2 FLSs have been rarely used in practical applications. Instead, Interval Type-2 (IT2) FLSs which employ constrained IT2 FSs, have been widely used. Despite their superior computational complexity, IT2 FLSs lack the expressive power of GT2 FSs when describing various sources of uncertainty. Further, it is unclear how to derive an IT2 FLS from a specific GT2 FLS. To alleviate these issues, this paper outlines a novel concept of Shadowed Type-2 Fuzzy Logic Systems (ST2 FLS). The ST2 FLS consists of previously proposed ST2 FSs, which are T2 FSs with secondary membership functions represented as Shadowed Sets (SSs). Because ST2 FSs are directly induced by GT2 FSs, the entire design of the ST2 FLS can be automatically derived from a specific GT2 FLS. Furthermore, the proposed ST2 FLS was shown to approximate GT2 FLS more accurately compared to IT2 FLS, while maintaining the computational efficiency of IT2 FLS.
  • Keywords
    computational complexity; fuzzy logic; fuzzy set theory; uncertainty handling; GT2 FLS; GT2 FS; IT2 FLS; IT2 FS; ST2 FLS; ST2 FS; computational complexity; general type-2 fuzzy logic system; interval type-2 fuzzy set; membership function; shadowed set; shadowed type-2 fuzzy logic system; uncertainty source; Artificial intelligence; Computational complexity; Computational modeling; Computer architecture; Frequency selective surfaces; Fuzzy logic; Uncertainty; General Type-2 Fuzzy Logic Systems; Interval Type-2 Fuzzy Logic Systems; Shadowed Sets; Shadowed Type-2 Fuzzy Sets; Uncertainty Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2013 IEEE Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/T2FZZ.2013.6613294
  • Filename
    6613294