Granular reducts of formal fuzzy contexts
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 … 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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WebJan 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 … http://wang.hebmlc.org/UploadFiles/2024123134016247.pdf
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 … WebThis book constitutes the refereed proceedings of the Fourth International Conference on Rough Sets and Knowledge Technology, RSKT 2009, held in Gold Coast, Australia, in July 2009.
WebWe introduce the notion of granular reduct in formal fuzzy contexts.We proposed methods of granular reduct in the sense of reducing attributes.We examined the relationship … 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 …
WebThis book constitutes the refereed proceedings of the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, held in Toronto, Canada in May 2007 in conjunction with the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, both as part of the Joint Rough Set … credit one credit card annual feeWebMay 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. buckle history of civilization pdfWebIn this paper, a novel type of one-sided fuzzy three-way concept lattices is presented in a given formal fuzzy context with its complement, in which a ternary classification is available. In such case, we comprehensively explore the connections between the proposed models and classical fuzzy concept lattices among elements, sets, and orders. buckle holes wholesaleWebThis volume contains the papers selected for presentation at the 14th International Symposium on Methodologies for Intelligent Systems, ISMIS 2003, held in Maebashi City, Japan, 28-31 October, 2003. credit one credit card definitionWebories 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 ... buckle holiday park seaford east sussexAlgebraic 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 … credit one creditWebFeb 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 … buckle hole puncher