In this paper, a method is proposed to measure attribute's importance based on rough set theory. According to rough set theory, knowledge about a universe ...

According to Rough set theory, knowledge about a universe of objects may be defined as classifications based on certain properties ofthe objects, i.e. rough set.

This paper proposes a new text categorization method based on the similar rough set and the fuzzy cognitive map (FCM). The method replaces casual relation with ...

The theory of rough sets is a powerful tool for data analysis and knowledge discovery from imprecise and ambiguous data. A variable precision fuzzy rough set ...

Rough sets (RS) are a set of theories that explore the expression, learning, and induction of incomplete data and inaccurate knowledge.

Rough set is a method to solve uncer- tainty problems, and the measurement of knowledge uncertainty is an important content in the research of rough set theory.

This paper presents a granular computing approach to spatial classification and prediction of land cover classes using rough set variable precision methods.

Rough set is a method to solve uncertainty problems, and the measurement of knowledge uncertainty is an important content in the research of rough set theory.

Attribute reduction is an important problem of rough set theory. A reduct is a minimum subset of attributes that provides the same description or classification ...

Duration: 1:20:58
Posted: Mar 16, 2017