Results 181 to 190 of about 185,811 (251)
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An approach to roughness of fuzzy sets
2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2005In rough-set-based data analysis, the roughness of a set is traditionally used to express the degree of inexactness of the set arose due to incompleteness of available knowledge. Recently, an attempt of integration between the theories of fuzzy sets and rough sets has resulted in providing a roughness measure for fuzzy sets (Banerjee and Pal, 1996 ...
Van-Nam Huynh, Yoshiteru Nakamori
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On rough set and fuzzy sublattice
Information Sciences, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Akbar Estaji +2 more
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Computers & industrial engineering, 2019
Multi-attribute decision-making (MADM) can be regarded as a process of selecting the optimal one from all alternatives. Traditional MADM problems with fuzzy information are mainly focused on a fundamental tool which is a fuzzy binary relation.
Kai Zhang +3 more
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Multi-attribute decision-making (MADM) can be regarded as a process of selecting the optimal one from all alternatives. Traditional MADM problems with fuzzy information are mainly focused on a fundamental tool which is a fuzzy binary relation.
Kai Zhang +3 more
semanticscholar +1 more source
Scalable Fuzzy Rough Set Reduct Computation Using Fuzzy Min–Max Neural Network Preprocessing
IEEE transactions on fuzzy systems, 2020A fuzzy rough set (FRS) is a hybridization of rough sets and fuzzy sets and provides a framework for reduct (feature subset selection) computation for hybrid decision systems.
Anil Kumar +1 more
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Fundamenta Informaticae, 2011
In this paper, we consider the Alexandroff topology for texture spaces. We prove that there exists a one-to-one correspondence between the Alexandroff ditopologies, and the reflexive and transitive direlations on a given texture. Using textural fuzzy direlations on a fuzzy lattice, we obtain a fuzzy rough set algebra where the inverse fuzzy relation ...
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In this paper, we consider the Alexandroff topology for texture spaces. We prove that there exists a one-to-one correspondence between the Alexandroff ditopologies, and the reflexive and transitive direlations on a given texture. Using textural fuzzy direlations on a fuzzy lattice, we obtain a fuzzy rough set algebra where the inverse fuzzy relation ...
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Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection
IEEE transactions on fuzzy systems, 2019Attribute subset selection is an important issue in data mining and information processing. However, most automatic methodologies consider only the relevance factor between samples while ignoring the diversity factor.
Anhui Tan +5 more
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Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification
IEEE transactions on fuzzy systems, 2019The classification of high-dimensional tasks remains a significant challenge for machine learning algorithms. Feature selection is considered to be an indispensable preprocessing step in high-dimensional data classification. In the era of big data, there
Hong Zhao +3 more
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Fuzzy rough sets are intuitionistic L-fuzzy sets
Fuzzy Sets and Systems, 1998The concepts of intuitionistic \(L\)-fuzzy sets (IL-FS) [see \textit{K. Atanassov} and \textit{S. Stoeva}, ``Intuitionistic \(L\)-fuzzy sets'', in: R. Trappl (ed.), Cybernetics and systems research 2, 539-540 (1984; Zbl 0547.03030)], which are extensions of the IFSs [\textit{K. T. Atanassov}, ``Intuitionistic fuzzy sets'', Fuzzy Sets Syst.
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A roughness measure for fuzzy sets
Information Sciences, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Van-Nam Huynh, Yoshiteru Nakamori
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On generalized fuzzy rough sets
International Journal of General Systems, 2009In this paper, a class of generalized fuzzy rough sets based on two universes are studied. Some new set-valued mappings and fuzzy set-valued mappings are introduced to discuss properties of the known model, and a new model for fuzzy rough sets is proposed which provides a new selection of interval structure for uncertainty reasoning using rough set ...
Daowu Pei, Taihe Fan
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