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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).
BLASZCYNSKI J +3 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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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".
GRECO, Salvatore +2 more
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Fuzzy Set Extensions of the Dominance-Based Rough Set Approach
2007Rough set theory has been proposed by Pawlak in the early 80s to deal with inconsistency problems following from information granulation. It operates on an information table composed of a set U of objects described by a set Q of condition and decision attributes. Decision attributes make a partition of U into decision classes.
GRECO, Salvatore +2 more
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A Semantical Approach to Rough Sets and Dominance-Based Rough Sets
2016There exist two formulations of rough sets: the conceptual and computational one. The conceptual or semantical approach of rough set theory focuses on the meaning and interpretation of concepts, while algorithms to compute those concepts are studied in the computational formulation. However, the research on the former is rather limited.
Lynn D’eer, Chris Cornelis, Yiyu Yao
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Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces
2008We 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
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Double-quantitative variable consistency dominance-based rough set approach
International Journal of Approximate Reasoning, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Wentao +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
GRECO, Salvatore +2 more
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Dominance-Based Rough Set Approach to Granular Computing
2010Dominance-based Rough Set Approach (DRSA) was introduced as a generalization of the rough set approach for reasoning about preferences. While data describing preferences are ordinal by the nature of decision problems they concern, the ordering of data is also important in many other problems of data analysis.
GRECO, Salvatore +2 more
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Dominance-Based Rough Set Approach Using Possibility and Necessity Measures
2002Dominance-based rough set approach is an extension of the basic rough set approach proposed by Pawlak, to multicriteria classification problems. In this paper, the dominance-based rough set approach is considered in the context of vague information on preferences and decision classes.
GRECO, Salvatore +2 more
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