Add to ORKGAbstract A class of more extensive information system which is said to be the generalized information system (GIS) is presented, it contains complete information system, incomplete information system and multivalued information system. The rough set theory in the GIS will be applied in more extensive scope. Some concepts of set approximations, extension, core, reduction and discernibility function in the GIS are given. A theoretical method dealing with noise, uncertainty and imprecision in the GIS is discussed
Abstract — Both rough sets theory and vague sets theory are emerging as powerful tool for managing u...
The theory of rough sets was firstly proposed by Pawlak. Later on, Smarandache introduced the concep...
Abstract -Knowledge acquisition under uncertainty using rough set theory was first stated as a conce...
AbstractRough set theory is a relatively new mathematical tool for use in computer applications in c...
Rough set theory is an effective approach to imprecision, vagueness, and uncertainty. This theory ov...
Abstract—Rough set theory is a popular and powerful machine learning tool. It is especially suitable...
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the pr...
The paper presents and evaluates an approach based on Rough Set Theory, and some variants and extens...
A relation is viewed as a granularity from a granular computing perspective. A classic rough set con...
The information systems with incomplete attribute values and fuzzy decisions commonly exist in pract...
This article is focused on rough sets approach to expression of uncertainty into information system....
Cílem této diplomové práce bylo ukázat možný způsob účelného využití teorie "rough" množin (RM) na p...
Rough set theory and neutrosophic set theory are mathematical models to deal with incomplete and vag...
The original rough set theory deals with precise and complete data, while real applications frequent...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
Abstract — Both rough sets theory and vague sets theory are emerging as powerful tool for managing u...
The theory of rough sets was firstly proposed by Pawlak. Later on, Smarandache introduced the concep...
Abstract -Knowledge acquisition under uncertainty using rough set theory was first stated as a conce...
AbstractRough set theory is a relatively new mathematical tool for use in computer applications in c...
Rough set theory is an effective approach to imprecision, vagueness, and uncertainty. This theory ov...
Abstract—Rough set theory is a popular and powerful machine learning tool. It is especially suitable...
Rough set philosophy is a significant methodology in the knowledge discovery of databases. In the pr...
The paper presents and evaluates an approach based on Rough Set Theory, and some variants and extens...
A relation is viewed as a granularity from a granular computing perspective. A classic rough set con...
The information systems with incomplete attribute values and fuzzy decisions commonly exist in pract...
This article is focused on rough sets approach to expression of uncertainty into information system....
Cílem této diplomové práce bylo ukázat možný způsob účelného využití teorie "rough" množin (RM) na p...
Rough set theory and neutrosophic set theory are mathematical models to deal with incomplete and vag...
The original rough set theory deals with precise and complete data, while real applications frequent...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
Abstract — Both rough sets theory and vague sets theory are emerging as powerful tool for managing u...
The theory of rough sets was firstly proposed by Pawlak. Later on, Smarandache introduced the concep...
Abstract -Knowledge acquisition under uncertainty using rough set theory was first stated as a conce...