(redirected from Rough set theory)
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References in periodicals archive ?
Broumi and Smarandache proposed single valued neutrosophic information systems based on rough set theory [25].
Before doing attribute reduction via equivalent class relation in rough set theory, attributes must be discretized into a finite number of semantic symbols.
Rough set theory is a mathematical tool to describe and solve inexact problems.
The paper is organized as follows: Section 2 briefly reviews the related work about cold-start issue and rough set theory on two universes.
The integrated methodology rough set theory and artificial neural network for business failure prediction.
Rough set theory has several points in common with the theory of fuzzy sets theory, intuitionistic fuzzy, discriminant analysis using Boolean logic.
To overcome the limitations of all the existing approaches, the concept of rough set theory along with fuzzy system [18] is proposed for clustering of the vehicles and cluster head selection.
A market survey method based on the rough set theory and fuzzy logic was deployed as a quantitative tool for describing market similarities.
An integration method combining Rough Set Theory with formal concept analysis for personal investment portfolios.
An integration method combined rough set theory with formal concept analysis for personal investment portfolios, Knowledge-Based Systems 23(6): 586-597.
3: rough set theory application in online course satisfaction, e-learning for employees, middle school students creativity assessment with neural networks.
The main constituent of soft computing is rough set theory applied in the intelligent data mining.