Axiomatics for fuzzy rough sets
β Scribed by Nehad N. Morsi; M.M. Yakout
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 580 KB
- Volume
- 100
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
A fuzzy T-rough set consists of a set X and a T-similarity relation R on X, where T is a lower semi-continuous triangular norm. We generalize the Farinas-Prade definition for the upper approximation operator A: I x --+ IX of a fuzzy T-rough set (X, R); given originally for the special case T = Min, to the case of arbitrary T. We propose a new definition for the lower approximation operator A_:lX ~ I x of (X, R). Our definition satisfies the two important identities AA = A and A/I = A, as well as a number of other interesting properties. We provide axiomatics to fully characterize those upper and lower approximations. ~
π SIMILAR VOLUMES
In this note we compare notions of rough set and fuzzy set, and we show that these two notions are different.
The purpose of this communication is to demonstrate the fact that fuzzy rough sets in the sense of Nanda and Majumdar [Fuzzy Sets and Systems 45 (1992) 157] are, indeed, intuitionistic L-fuzzy sets developed by Atanassov [VII ITKR's Session; Fuzzy Sets and Systems 20 (1986) 87].
A measure of fuzziness in rough sets is introduced and some characterizations of this measure are made with examples.