Some extended rough set models in incomplete information system cannot distinguish the two objects that have few known attributes and more unknown attributes; some cannot make a flexible and accurate discrimination. In order to solve this problem, this paper suggests an improved limited tolerance rough set model using two thresholds to control what two objects have a relationship between them in limited tolerance relation and to classify objects. Our practical study case shows the model can get fine and reasonable decision results
The rough set theory, based on the original definition of the indiscernibility relation, is not usef...
AbstractThe modernization of water conservancy project management is a complicated engineering syste...
Data mining concepts and methods can be applied in various fields. Many methods have been proposed ...
Some extended rough set models in incomplete information system cannot distinguish the two objects t...
Abstract The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's r...
In rough set models, tolerance relation, similarity relation and limited tolerance relation solve di...
<p class="BodyAbstract">Rough set theory is one of the mathematical models for dealing with a vague,...
Rough set theory is an effective approach to imprecision, vagueness, and uncertainty. This theory ov...
Rough set theory is a mathematical model for dealing with the vague, imprecise, and uncertain knowle...
Rough set theory is a mathematical model for dealing with the vague, imprecise, and uncertain knowle...
Rough set theory is a mathematical model for dealing with the vague, imprecise, and uncertain knowle...
Abstract: Information systems are often incomplete in object world. This paper puts forward a new ro...
The original rough set theory deals with precise and complete data, while real applications frequent...
Rough set theory is one of the mathematical models for dealing with a vague, imprecise, and fuzzy kn...
Relation between tolerance class and indispensable attribute and knowledge dependency in rough set m...
The rough set theory, based on the original definition of the indiscernibility relation, is not usef...
AbstractThe modernization of water conservancy project management is a complicated engineering syste...
Data mining concepts and methods can be applied in various fields. Many methods have been proposed ...
Some extended rough set models in incomplete information system cannot distinguish the two objects t...
Abstract The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's r...
In rough set models, tolerance relation, similarity relation and limited tolerance relation solve di...
<p class="BodyAbstract">Rough set theory is one of the mathematical models for dealing with a vague,...
Rough set theory is an effective approach to imprecision, vagueness, and uncertainty. This theory ov...
Rough set theory is a mathematical model for dealing with the vague, imprecise, and uncertain knowle...
Rough set theory is a mathematical model for dealing with the vague, imprecise, and uncertain knowle...
Rough set theory is a mathematical model for dealing with the vague, imprecise, and uncertain knowle...
Abstract: Information systems are often incomplete in object world. This paper puts forward a new ro...
The original rough set theory deals with precise and complete data, while real applications frequent...
Rough set theory is one of the mathematical models for dealing with a vague, imprecise, and fuzzy kn...
Relation between tolerance class and indispensable attribute and knowledge dependency in rough set m...
The rough set theory, based on the original definition of the indiscernibility relation, is not usef...
AbstractThe modernization of water conservancy project management is a complicated engineering syste...
Data mining concepts and methods can be applied in various fields. Many methods have been proposed ...