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Variable-Precision Dominance-Based Rough Set Approach
Information Sciences, 2006In order to treat the ordinality and the monotonicity between condition and decision attributes in decision tables, the dominance-based rough set approach (DRSA) has been developed. Moreover, to treat the hesitation in evaluation, the variable-consistency dominance-based rough set approach (VC-DRSA) has been proposed. However, the VC-DRSA is not always
Masahiro Inuiguchi, Yukihiro Yoshioka
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On Topological Dominance-based Rough Set Approach
2010In this article, we characterize the Dominance-based Rough Set Approach (DRSA) from the point of view of its topological properties. Using the concept of a bitopological space, we extend to DRSA the classical results known for the original rough set approach. Moreover, we introduce a topological approach to ordinal classification.
Salvatore Greco +2 more
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A unified approach to reducts in dominance-based rough set approach
Soft Computing, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yoshifumi Kusunoki, Masahiro Inuiguchi
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Algebraic Structures for Dominance-Based Rough Set Approach
2008Dominance-based Rough Set Approach (DRSA) has been proposed to generalize classical rough set approach when monotonicity between memberships 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 gravity".
Salvatore Greco +2 more
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On Variable Consistency Dominance-Based Rough Set Approaches
2006We consider different variants of Variable Consistency Dominance-based Rough Set Approach (VC-DRSA). These variants produce more general (extended) lower approximations than those computed by Dominance-based Rough Set Approach (DRSA), (i.e., lower approximations that are supersets of those computed by DRSA).
Jerzy Blaszczynski +3 more
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Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach
2005Ordinal 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
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Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables [PDF]
International Journal of Approximate Reasoning, 2011 In this paper, we propose a dominance-based fuzzy rough set approach for the decision analysis of a preference-ordered uncertain or possibilistic data table, which is comprised of a finite set of objects described by a finite set of criteria. The domains
Churn-Jung Liau +2 more
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Dominance-Based Rough Set Approach
2019Dominance-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
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Parallel computing of approximations in dominance-based rough sets approach
Knowledge-Based Systems, 2015Computation 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
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Dominance-Based Rough Set Approach to Case-Based Reasoning
2006Case-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
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