Granular reducts of formal fuzzy contexts
Algebraic structures and lattice structures of rough sets are basic and important … Formal contexts and modal-style data operatorsIn this section, definitions for … By building upon the commonalities of the existing formal approaches, Granular … 1. Introduction. Cognitive computing is the development of computer systems … Step 2: Constructing real Galois lattice for attribute reduction based on significance … This paper introduces granular computing (GrC) into formal concept analysis … Roughset theory, proposedbyPawlak [31–33], is a relativelynewsoft … The formal concept from the associated variable threshold concept lattices … Generating complete set of implications for formal contexts. Knowledge-Based … Attribute reduction in fuzzy concept lattices based on the kind of transitive regular … WebLet 𝔽 = (U, A, ˜I) be a fuzzy formal context. For any X ⊆ U, X is said to be an object granular consistent set of 𝔽 if [ a ] RX = [ a ] R for all a ∈ A. Furthermore, if X is an object granular consistent set and [ a ] RX- {x} ≠ [ a ] R for all x ∈ X, then X is referred to as an object granular reduction of 𝔽 .
Granular reducts of formal fuzzy contexts
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WebThis book constitutes the refereed proceedings of the 7th International Workshop on Rough Sets, Fuzzy Sets, Data Mining, and Granular-Soft Computing, RSFDGrC99, held in Yamaguchi, Japan, in November 1999. Stöbern Sie im Onlineshop von buecher.de und kaufen Sie Ihre Artikel versandkostenfrei und ohne Mindestbestellwert! WebJun 11, 2024 · Read "10.1016/j.knosys.2016.10.010" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
WebOct 1, 2016 · Fuzzy formal contexts [1,4,18,23, 27] and incomplete formal contexts [2,3,7,10,12,15,22,36] are two common approaches to address this problem. Burmeister … WebMar 8, 2024 · Shao et al. [30, 31] obtained the relations between granular reducts and dominance reducts in formal contexts. ... (2016) Granular reducts of formal fuzzy contexts. Knowl Based Syst 114:156–166. Article Google Scholar She YH, Wang GJ (2009) An axiomatic approach of fuzzy rough sets based on residuated lattices. Comput Math …
WebOct 31, 2008 · Granular computing and knowledge reduction are two basic issues in knowledge representation and data mining. Granular structure of concept lattices with … WebIn order to improve the computational efficiency, it is necessary to preprocess the database and reduce its size as much as possible. Focusing on formal fuzzy contexts, we …
WebMar 7, 2024 · Shao MW, Leung Y, Wang XZ, Wu WZ (2016) Granular reducts of formal fuzzy contexts. Knowl Based Syst 114:156–166. Google Scholar Shao MW, Li KW (2024) Attribute reduction in generalized one-sided formal contexts. Inf Sci 378:317–327. MathSciNet MATH Google Scholar Song JJ, Tsang ECC, Chen DG, Yang XB (2024) …
WebLet 𝔽 = (U, A, ˜I) be a fuzzy formal context. For any X ⊆ U, X is said to be an object granular consistent set of 𝔽 if [ a ] RX = [ a ] R for all a ∈ A. Furthermore, if X is an object … circular for school reopeningWebJul 1, 2014 · Focusing on formal fuzzy contexts, we introduce in the paper the notions of granular consistent sets and granular reducts and propose granular reduct methods in … diamond farmstay pembertonWebMar 1, 2024 · A discernibility Boolean matrix in formal fuzzy contexts is developed by preserving extents of meet-irreducible elements via order-class matrix and a heuristic attribute-reduction algorithm is proposed. ... This study defines two types of consistent sets and reducts in a consistent formal decision context based on neighbourhood systems … circular for reopening of school after covidWebJan 1, 2024 · In this paper, we investigate object granular reduction of fuzzy formal contexts in the sense of reducing the non-essential objects without changing the … circular for ramadan timingsWebFeb 1, 2002 · Granular reducts of formal fuzzy contexts. 2016, Knowledge-Based Systems. Show abstract. Knowledge reduction is one of the key issues in knowledge discovery and data mining. During the construction of a concept lattice, it has been recognized that computational complexity is a major obstacle in deriving all the concept … diamond farms homesWebIn order to improve the computational efficiency, it is necessary to preprocess the database and reduce its size as much as possible. Focusing on formal fuzzy contexts, we introduce in the paper the notions of granular consistent sets and granular reducts and propose granular reduct methods in the sense of reducing the attributes. diamond farms post office gaithersburg mdWebories and properties without changing the structure of formal fuzzy contexts from the perspectives of fuzzy logic. After that, Burusco et al. [20, 21] firstly illustrated L-fuzzy concept lattice, and made a comparison of the fuzziness in a given L-fuzzy formal context by utilizing the fuzzy implications of Luk asiewicz, Kleene [22], and G¨odel ... circular for remedial classes in school