Results 31 to 40 of about 90,485 (281)
, 2018 The notion of the graphon (a symmetric measurable fuzzy set of $[0, 1]^2$) was introduced by L. Lov\'asz and B. Szegedy in 2006 to describe limit objects of convergent sequences of dense graphs.
Nagy, Attila
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Term-Specific Eigenvector-Centrality in Multi-Relation Networks [PDF]
, 2011 Fuzzy matching and ranking are two information retrieval techniques widely used in web search. Their application to structured data, however, remains an open problem.
Bry, François +3 more
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Electronic Notes in Discrete Mathematics, 2003 Abstract An arc (u, v) in a fuzzy graph H is called strong if its weight is at least as great as the strength of connectedness of u and v when (u, v) is deleted. A strong path is a path whose arcs are all strong, and a geodesic is a shortest strong path between its end nodes. Let S be a set of nodes.
Kiran R. Bhutani, Azriel Rosenfeld
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Roughness in Fuzzy Cayley Graphs
Қарағанды университетінің хабаршысы. Математика сериясы, 2023 Rough set theory is a worth noticing approach for inexact and uncertain system modelling. When rough set theory accompanies with fuzzy set theory, which both are a complementary generalization of set theory, they will be attended by potency in ...
M.H. Shahzamanian, B. Davvaz
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Intuitionistic Fuzzy Planar Graphs
Discrete Dynamics in Nature and Society, 2014 Graph theory has numerous applications in modern sciences and technology. Atanassov introduced the concept of intuitionistic fuzzy sets as a generalization of fuzzy sets. Intuitionistic fuzzy set has shown advantages in handling vagueness and uncertainty
Noura Alshehri, Muhammad Akram
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Uniqueness of canonical tensor model with local time [PDF]
, 2012 Canonical formalism of the rank-three tensor model has recently been proposed, in which "local" time is consistently incorporated by a set of first class constraints.
de Medeiros P. +3 more
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Data granulation by the principles of uncertainty [PDF]
, 2015 Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
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On Edge Proper Interval-Valued Complex Fuzzy Graphs [PDF]
E3S Web of Conferences, 2023 This article summarizes about edge proper interval-valued complex fuzzy graph. Here, degree of an edge, total degree of an edge, edge proper and edge totally proper intervalvalued complex fuzzy were introduced.
Venkateshwara R., Sridevi R.
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A kernel-based framework for learning graded relations from data [PDF]
, 2011 Driven by a large number of potential applications in areas like bioinformatics, information retrieval and social network analysis, the problem setting of inferring relations between pairs of data objects has recently been investigated quite intensively ...
Airola, Antti +5 more
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Representation of competitions by generalized fuzzy graphs
International Journal of Computational Intelligence Systems, 2018 Generalized fuzzy graphs are perfect to represent any system like networks, images, scheduling, etc. compared to fuzzy graphs. This study introduces the concept of a generalized fuzzy neighbourhood of a vertex and generalized fuzzy graphs.
Sovan Samanta, Biswajit Sarkar
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