Add to ORKGThe original rough set model was developed by Pawlak, which is mainly concerned with Knowledge representation in the rough set model is realized via information systems (IS) which are a tabular form of an OBJECT? ATTRIBUTE VALUE relationship, similar to relational databases. An information system is an ordered triplet S ðU;AT; f Þ, where U is a finite non-empty set of objects, AT is a finite non-empty set of attributes (predictor features), and fa: U! Va for any a 2 AT with Va being the domain of an attribute a. For any x 2 U, an information vector of x is give
World Wide Web has become the largest pool of knowledge in terms of volume, but web users still cont...
Based on rough sets, fuzzy set theory gives a model of information retrieval. "Contains" r...
For a query in a Research Information System (CRIS) to return adequate results, it is necessary that...
This article is focused on rough sets approach to expression of uncertainty into information system....
Rough set theory is a new mathematical approach to data analysis. The rough set ap-proach seems to b...
Abstract: The rough set theory, which originated in the early 1980s, provides an alternative approac...
The rough relational database model was developed for the management of uncertainty in relational da...
AbstractRough set theory is a relatively new mathematical tool for use in computer applications in c...
The attribute core of a decision table is often the start point and key of many decision information...
AbstractWe introduce the notion of an artificial attribute in Scott's systems. Assuming that only so...
AbstractSet-valued information systems are generalized models of single-valued information systems. ...
Rough set theory was proposed by Pawlak Z. and is well used in the area of data mining. The main rol...
Traditional rough set theory is mainly used to reduce attributes and extract rules in databases in w...
This paper proposes rough set models with three different level knowledge granules in incomplete inf...
International audienceRough sets are often induced by descriptions of objects based on the precise o...
World Wide Web has become the largest pool of knowledge in terms of volume, but web users still cont...
Based on rough sets, fuzzy set theory gives a model of information retrieval. "Contains" r...
For a query in a Research Information System (CRIS) to return adequate results, it is necessary that...
This article is focused on rough sets approach to expression of uncertainty into information system....
Rough set theory is a new mathematical approach to data analysis. The rough set ap-proach seems to b...
Abstract: The rough set theory, which originated in the early 1980s, provides an alternative approac...
The rough relational database model was developed for the management of uncertainty in relational da...
AbstractRough set theory is a relatively new mathematical tool for use in computer applications in c...
The attribute core of a decision table is often the start point and key of many decision information...
AbstractWe introduce the notion of an artificial attribute in Scott's systems. Assuming that only so...
AbstractSet-valued information systems are generalized models of single-valued information systems. ...
Rough set theory was proposed by Pawlak Z. and is well used in the area of data mining. The main rol...
Traditional rough set theory is mainly used to reduce attributes and extract rules in databases in w...
This paper proposes rough set models with three different level knowledge granules in incomplete inf...
International audienceRough sets are often induced by descriptions of objects based on the precise o...
World Wide Web has become the largest pool of knowledge in terms of volume, but web users still cont...
Based on rough sets, fuzzy set theory gives a model of information retrieval. "Contains" r...
For a query in a Research Information System (CRIS) to return adequate results, it is necessary that...