Results 111 to 120 of about 50,721 (156)
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Generalized textural rough sets: Rough set models over two universes

Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Altay Uğur, Ayşegül, Diker, Murat
openaire   +1 more source

Rough Sets

2009
This chapter discusses ways in which rough-set theory can enhance databases by allowing for the management of uncertainty. Rough sets can be integrated into an underlying database model, relational or object oriented, and also used in the design and uerying of databases, because roughsets are a versatile theory, theories.
Theresa Beaubouef, Frederick E Petry
openaire   +2 more sources

Roughness Bounds in Set-oriented Rough Set Operations

2006 IEEE International Conference on Fuzzy Systems, 2006
Roughness is an important indicator for the uncertainty of a rough set. This paper analyses the roughness bounds for set-oriented rough set operations. A bound of the roughness of the union between two set-oriented rough sets could be determined by the roughness of the two operand set-oriented sets.
null Yingjie Yang, R. John
openaire   +1 more source

Game-Theoretic Rough Sets

Fundamenta Informaticae, 2011
This article investigates the Game-theoretic Rough Set (GTRS) model and its capability of analyzing a major decision problem evident in existing probabilistic rough set models. A major challenge in the application of probabilistic rough set models is their inability to formulate a method of decreasing the size of the boundary region through further ...
Herbert, Joseph P., Yao, Jingtao
openaire   +1 more source

A kind of new rough set: Rough soft sets and rough soft rings

Journal of Intelligent & Fuzzy Systems, 2015
The aim of this paper is to lay a foundation for providing a rough soft tool in considering many problems that contain uncertainties. We put forward the concepts of rough soft rings and rough idealistic soft rings. Some basic operations on rough soft rings are discussed. Some good examples are explored.
Zhan, Jianming, Davvaz, Bijan
openaire   +2 more sources

Certainty-Based Rough Sets

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

Rough Sets

2021
Sheela Ramanna   +2 more
openaire   +2 more sources

Rough Set Based Decision Support

2006
In this chapter, we are concerned with discovering knowledge from data. The aim is to find concise classification patterns that agree with situations that are described by the data. Such patterns are useful for explanation of the data and for the prediction of future situations.
SLOWINSKI R   +2 more
openaire   +3 more sources

Rough Sets

2007
David L. Olson, Dursun Delen
  +4 more sources

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