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Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach

2005
Ordinal properties of data related to preferences have been taken into account in the Dominance-based Rough Set Approach (DRSA). We show that DRSA is also relevant in case where preferences are not considered but a kind of monotonicity relating attribute values is meaningful for the analysis of data at hand.
GRECO, Salvatore   +2 more
openaire   +3 more sources

Parallel computing of approximations in dominance-based rough sets approach

Knowledge-Based Systems, 2015
Computation of approximation is a critical step for applying rough sets methodologies in knowledge discovery and data mining. As an extension of classic rough sets theory, Dominance-based Rough Sets Approach (DRSA) can process information with preference-ordered attribute domain and then can be applied in multi-criteria decision analysis and other ...
Shaoyong Li   +4 more
openaire   +1 more source

Dominance-Based Rough Set Approach

2019
Dominance-based Rough Set Approach (DRSA) is an extension of conventional Rough Set Theory. The conventional approach does not take into consideration the dominance relation among the objects while considering the universe. DRSA, on the other hand, considers this relation as well and thus takes RST a step ahead.
Muhammad Summair Raza, Usman Qamar
openaire   +1 more source

Dominance-Based Rough Set Approach to Case-Based Reasoning

2006
Case-based reasoning is a paradigm in machine learning whose idea is that a new problem can be solved by noticing its similarity to a set of problems previously solved. We propose a new approach to case-based reasoning. It is based on rough set theory that is a mathematical theory for reasoning about data. More precisely, we adopt Dominance-based Rough
Salvatore Greco   +2 more
openaire   +3 more sources

Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces

2008
We take into consideration Dominance-based Rough Set Approach and its recently proposed algebraic modeling in terms of bipolar de Morgan Brower-Zadeh distributive lattice. On this basis we introduce the concept of bipolar approximation space and we show how it can be induced from a bipolar quasi Brower-Zadeh lattice.
Greco, Salvatore   +2 more
openaire   +2 more sources

Computationally Efficient Approximation Algorithm of Dominance Based Rough Set Approach

2020 22nd International Conference on Advanced Communication Technology (ICACT), 2020
Information systems contain preference ordered decision attributes now a day. To deal with them Dominance based Rough Set Approach (DRSA) is used. Two important concepts in DRSA are upper and lower approximations, both of them are computationally heavy algorithms. Reduction in its computational complexity helps in many advance applications of DRSA. Our
Aleena Ahmad   +2 more
openaire   +1 more source

Optimized Generalized Decision in Dominance-Based Rough Set Approach

2007
Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance principle. However, in real-life datasets, in the presence of noise, the notions of lower and upper approximations handling inconsistencies were found to be excessively restrictive
Krzysztof Dembczynski   +3 more
openaire   +3 more sources

Reducts and constructs in classic and dominance-based rough sets approach

Information Sciences, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Bayesian Decision Theory for Dominance-Based Rough Set Approach

2007
Dominance-based Rough Set Approach (DRSA) has been proposed to generalize classical rough set approach when consideration of monotonicity between degrees of membership to considered concepts has to be taken into account. This is typical for data describing various phenomena, e.g., "the larger the mass and the smaller the distance, the larger the ...
GRECO, Salvatore   +2 more
openaire   +3 more sources

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

Applied Soft Computing, 2020
Abstract Classical Rough Set Theory (RST) is a prominent tool to deal with uncertainty of categorical data. However, it does not consider the preference order between the values of the attributes. Dominance Based Rough Set Approach (DRSA) provides dominance relation in this regard.
Aleena Ahmad   +2 more
openaire   +1 more source

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