Results 91 to 100 of about 173 (111)

Fuzzy extensions of the dominance-based rough set approach

open access: yesInternational Journal of Approximate Reasoning, 2021
In this paper, we first review existing fuzzy extensions of the dominance-based rough set approach (DRSA), and advance the theory considering additional properties. Moreover, we examine the application of Ordered Weighted Average (OWA) operators to fuzzy
Marko Palangetić, Chris Cornelis
exaly   +2 more sources

Variable-precision dominance-based rough set approach and attribute reduction

open access: yesInternational Journal of Approximate Reasoning, 2009
In this paper, a variable-precision dominance-based rough set approach (VP-DRSA) is proposed together with several VP-DRSA-based approaches to attribute reduction.
Masahiro Inuiguchi, Yoshifumi Kusunoki
exaly   +2 more sources

An incremental approach for calculating dominance-based rough set dependency

open access: yesSoft Computing
Feature selection and classification are widely used in machine learning in the context of big data. In many data sets, both attributes and decision classes can be preference ordered.
Usman Qamar   +2 more
exaly   +3 more sources
Some of the next articles are maybe not open access.

Related searches:

A parallel rule-based approach to compute rough approximations of dominance based rough set theory

Engineering Applications of Artificial Intelligence, 2022
Usman Qamar, Muhammad Summair Raza
exaly  

Empirical risk minimization for dominance-based rough set approaches

Information Sciences, 2021
Yoshifumi Kusunoki   +2 more
exaly  

Redefining preliminaries of dominance-based rough set approach

Soft Computing, 2022
Usman Qamar   +2 more
exaly  

An optimized method to calculate approximations in Dominance based Rough Set Approach

Applied Soft Computing Journal, 2020
Usman Qamar, Muhammad Summair Raza
exaly  

Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting

Information Sciences, 2014
Miłosz Kadziński   +2 more
exaly  

Home - About - Disclaimer - Privacy