Fuzzy-Rough Sets Assisted Attribute Selection
نویسندگان
چکیده
منابع مشابه
Multi-adjoint fuzzy rough sets: Definition, properties and attribute selection
Article history: Received 18 September 2012 Received in revised form 13 July 2013 Accepted 1 September 2013 Available online 20 September 2013
متن کاملL-valued Fuzzy Rough Sets
In this paper, we take a GL-quantale as the truth value table to study a new rough set model—L-valued fuzzy rough sets. The three key components of this model are: an L-fuzzy set A as the universal set, an L-valued relation of A and an L-fuzzy set of A (a fuzzy subset of fuzzy sets). Then L-valued fuzzy rough sets are completely characterized via both constructive and axiomatic approaches.
متن کاملParameterized attribute reduction with Gaussian kernel based fuzzy rough sets
Article history: Received 15 September 2008 Received in revised form 24 June 2011 Accepted 5 July 2011 Available online 23 July 2011
متن کاملFuzzy Rough Sets with GA-Based Attribute Division
–Rough set theory is a powerful tool to extract classification rules from a database that usually is given in the form of information system in which information is expressed by attributes and their values. In this paper, we first evaluate every example data (tuple) using, not a singleton but, a fuzzy number (or, suppose the original information system is along with such fuzzy numbers), due to ...
متن کاملOn $L$-double fuzzy rough sets
ur aim of this paper is to introduce the concept of $L$-double fuzzy rough sets in whichboth constructive and axiomatic approaches are used. In constructive approach, a pairof $L$-double fuzzy lower (resp. upper) approximation operators is defined and the basic properties of them are studied.From the viewpoint of the axiomatic approach, a set of axioms is constructed to characterize the $L...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Fuzzy Systems
سال: 2007
ISSN: 1063-6706
DOI: 10.1109/tfuzz.2006.889761