Granular reducts of formal fuzzy contexts
WebNov 15, 2024 · 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. WebFeb 5, 2024 · One of the key issues of knowledge discovery and data mining is knowledge reduction. Attribute reduction of formal contexts based on the granules and dominance relation are first reviewed in this paper. Relations between granular reduts and dominance reducts are investigated with the aim to establish a bridge between the two reduction …
Granular reducts of formal fuzzy contexts
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WebMay 31, 2024 · 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. WebApr 2, 2024 · The insufficiency of the existing granular reduction theory for fuzzy β-coverings is pointed out, and proper sufficient and necessary conditions for two fuzzy β …
WebJul 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 … WebOct 31, 2008 · Granular computing and knowledge reduction are two basic issues in knowledge representation and data mining. Granular structure of concept lattices with …
WebMar 1, 2024 · Knowledge reduction is an important issue in formal fuzzy contexts, which can simplify the structure of concept lattices. In this paper, a novel granular matrix … WebMar 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 …
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) …
Webreduction by reducing attributes and objects in formal fuzzy contexts.Thentheyformulatedgranularmethodsinthe … fisma waiverWebLet 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 … fisma what isWebIn 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 … caned by miss barnesWebJun 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. can ed be correctedWebIn 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. fism corsi onlineWebThis 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! fism championshipWebFeb 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 … fism corsi