Results 231 to 240 of about 7,006 (285)
A Semantical Approach to Rough Sets and Dominance-Based Rough Sets
, 2016 There 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
openaire +2 more sources
Dominance-based Rough Set Approach Supporting Experts in Situation Assessment
2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2019 Situation Awareness is the capability of understanding what is happening in order to make informed and correct decisions. The process for gaining good levels of Situation Awareness is defined as situation assessment. One of the main tasks of situation assessment is the identification of the situation.
Giuseppe D'Aniello, Matteo Gaeta
openaire +3 more sources
Dominance-Based Rough Set Approach to Granular Computing
, 2010 Dominance-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
openaire +3 more sources
Variable-precision dominance-based rough set approach and attribute reduction
International 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
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
+7 more sources
Dominance-based fuzzy rough set analysis of uncertain and possibilistic data tables
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
Tuan-Fang Fan +2 more
exaly +2 more sources
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
openaire +3 more sources
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +3 more sources