Results 271 to 280 of about 5,204,108 (294)
Some of the next articles are maybe not open access.
Rough mereology: A rough set paradigm for unifying rough set theory and fuzzy set theory
Fundam. Informaticae, 2003Summary: In this work, we would like to discuss rough inclusions defined in Rough Mereology -- a paradigm for approximate reasoning introduced by \textit{L. Polkowski} and \textit{A. Skowron} [Int. J. Approx. Reasoning 15, 333-365 (1996; Zbl 0938.68860)] -- as a basis for common models for rough as well as fuzzy set theories. We would like to adhere to
openaire +2 more sources
2017
The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
openaire +1 more source
The departing point of this study is a data table with certainty values associated to attribute values. These values are deeply rooted in possibility theory, they can be obtained with standard procedures and they are efficiently manageable in databases. Our aim is to study rough set approximations and reducts in this framework.
CIUCCI, DAVIDE ELIO, Forcati, I.
openaire +1 more source
2005
The article introduces the basic ideas and investigates the probabilistic version of rough set theory. It relies on both classification knowledge and probabilistic knowledge in analysis of rules and attributes. One-way and two-way inter-set dependency measures are proposed and adopted to probabilistic rule evaluation. A probabilistic dependency measure
openaire +2 more sources
The article introduces the basic ideas and investigates the probabilistic version of rough set theory. It relies on both classification knowledge and probabilistic knowledge in analysis of rules and attributes. One-way and two-way inter-set dependency measures are proposed and adopted to probabilistic rule evaluation. A probabilistic dependency measure
openaire +2 more sources
A Rough Set Paradigm for Unifying Rough Set Theory and Fuzzy Set Theory
2007In this plenary address, we would like to discuss rough inclusions defined in Rough Mereology, a joint idea with A. Skowron, as a basis for common models for rough as well as fuzzy set theories. We would like to justify the point of view that tolerance (or, similarity) is the leading motif common to both theories and in this area paths between the two ...
openaire +1 more source
Rough Soft Sets in Fuzzy Setting
2013Fuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing with uncertainties and are closely related. In the paper, we define the notion of a soft set in L-set theory, introduce several operators for L-soft set theory, and investigate the rough operators on the set of all L-soft sets induced by the rough operators on L X
openaire +1 more source
A comparative study of fuzzy rough sets
Fuzzy Sets and Systems, 2002Anna Maria Radzikowska, Etienne E Kerre
exaly
Constructive methods of rough approximation operators and multigranulation rough sets
Knowledge-Based Systems, 2016Duoqian Miao +2 more
exaly
Multigranulation fuzzy rough set over two universes and its application to decision making
Knowledge-Based Systems, 2017Yuhua Qian, Bingzhen Sun, Weimin Ma
exaly
Rough Shadowed Set: Hybridization of Rough Set and Shadowed Set
Man Gao +4 moreopenaire +1 more source