Results 41 to 50 of about 322,229 (285)
Unsupervised Attribute Reduction Algorithm for Mixed Data Based on Fuzzy Optimal Approximation Set
Mathematics, 2023 Fuzzy rough set theory has been successfully applied to many attribute reduction methods, in which the lower approximation set plays a pivotal role. However, the definition of lower approximation used has ignored the information conveyed by the upper ...
Haotong Wen, Shixin Zhao, Meishe Liang
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Reducing fuzzy answer set programming to model finding in fuzzy logics [PDF]
, 2011 In recent years, answer set programming (ASP) has been extended to deal with multivalued predicates. The resulting formalisms allow for the modeling of continuous problems as elegantly as ASP allows for the modeling of discrete problems, by combining the
Bauters +23 more
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Imaging of Biphoton States: Fundamentals and Applications
Advanced Functional Materials, EarlyView.Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
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Bi-ideals of ordered semigroups based on the interval-valued fuzzy point [PDF]
, 2016 Interval-valued fuzzy set theory (advanced generalization of Zadeh’s fuzzy sets) is a more generalized theory that can deal with real world problems more precisely than ordinary fuzzy set theory.
Khan, Asghar +3 more
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Advanced Functional Materials, EarlyView.Gold bipyramids can act as efficient plasmonic nanoheaters, but they often reshape during laser heating. This study shows that oxygen nanobubbles drive oxidative etching and that surface ligands control stability. CTAB‐ and citrate‐coated particles blunt and lose optical performance, whereas polystyrene sulfonate preserves shape and heating by ...
Irene López‐Sicilia +7 more
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Application of m- polar soft fuzzy bi- partite graph in residence selection process
Ratio Mathematica, 2023 An $m-$polar fuzzy set and soft sets are two different tools for representing uncertainty and vagueness. An $m-$polar soft fuzzy set is a mapping from parameter set to the $m-$polar fuzzy subsets of the universe.
S Ramkumar, R Sridevi
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A Bibliography on Fuzzy Automata, Grammars and Lanuages [PDF]
, 1995 This bibliography contains references to papers on fuzzy formal languages, the generation of fuzzy languages by means of fuzzy grammars, the recognition of fuzzy languages by fuzzy automata and machines, as well as some applications of fuzzy set theory ...
Asveld, Peter R.J.
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Fuzzy modelling of powder snow avalanches [PDF]
, 2004 This paper examines powder snow avalanches by introducing a predetermined degree of variation, or fuzziness, in model parameters. Given a value of vagueness in the parameters, fuzzy set theory makes it possible to evaluate the vagueness in the results ...
Barpi, Fabrizio
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Microengineered Gradient Hydrogels for Mechanobiology
Advanced Healthcare Materials, EarlyView.Gradient hydrogels are used to mimic the mechanical heterogeneity in native tissues, offering powerful in vitro platforms to study cell‐material interactions in diverse pathophysiological contexts. Here, we present a comprehensive review of the design and experimental considerations for stiffness gradient hydrogels, discussing exemplary achievements ...
Shin Wei Chong +4 more
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Journal of New Theory, 2019 In this paper, weprove that Neutrosophic Set (NS) is an extension of Intuitionistic Fuzzy Set(IFS) no matter if the sum of neutrosophic components is <1, or >1, or =1.For the case when the sum of components is 1 (as in IFS), after applying ...
Florentin Smarandache
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