• DocumentCode
    1623064
  • Title

    Fuzzy rough signatures

  • Author

    Mendis, B.S.U. ; Kóczy, L.T.

  • fYear
    2009
  • Firstpage
    1095
  • Lastpage
    1100
  • Abstract
    We extend the idea of Fuzzy Signature to Fuzzy Rough Signature (FRS). The proposed Fuzzy Rough Signature is capable of handling most kind of uncertainty: epistemic and random uncertainty, vagueness due to indiscernibility, and linguistic vagueness that exists in both large as well as small sample data sets. Additionally, this system is capable of hierarchical organization of inputs and use of flexible aggregation selection will simplify the combinations of inputs from different sources.
  • Keywords
    database theory; fuzzy set theory; rough set theory; epistemic uncertainty; flexible aggregation selection; fuzzy rough signature; random uncertainty; Computational intelligence; Diseases; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Mathematical model; Medical diagnosis; Rough sets; Uncertainty; Aggregation Operators; Fuzzy Signatures; Mathematical Theory of Evidence; Polymorphic Fuzzy Signatures (PFS); Rough Fuzzy Signatures; Rough sets; fuzzy probability; generalized Weighted Relevance Aggregation Operator (WRAO); possibility; probability; probability of fuzzy events;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
  • Conference_Location
    Jeju Island
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-3596-8
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2009.5277102
  • Filename
    5277102