Title :
Fuzzy rough signatures
Author :
Mendis, B.S.U. ; Kóczy, L.T.
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;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277102
