Results 41 to 50 of about 185,811 (251)
Fuzzy rough set prototype selection for regression
, 2015 Instance selection methods are a class of preprocessing techniques that have been widely studied in machine learning to remove redundant or noisy instances from a training set.
Chris Cornelis +13 more
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Fuzzy-Rough Set Bireducts for Data Reduction
IEEE transactions on fuzzy systems, 2020 Data reduction is an important step that helps ease the computational intractability for learning techniques when data are large. This is particularly true for the huge datasets that have become commonplace in recent times.
N. M. Parthaláin +2 more
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Fuzzy Rough Graph Theory with Applications
International Journal of Computational Intelligence Systems, 2018 Fuzzy rough set theory is a hybrid method that deals with vagueness and uncertainty emphasized in decision-making. In this research study, we apply the concept of fuzzy rough sets to graphs.
Muhammad Akram, Maham Arshad, Shumaiza
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Symmetry, 2019 In real life, human opinion cannot be limited to yes or no situations as shown in an ordinary fuzzy sets and intuitionistic fuzzy sets but it may be yes, abstain, no, and refusal as treated in Picture fuzzy sets or in Spherical fuzzy (SF) sets.
Shouzhen Zeng +5 more
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Rough analysis in lattices [PDF]
, 1991 An outline of an algebraie generalization of the rough set theory is presented in the paper. It is shown that the majority of the basic concepts of this theory has an immediate algebraic generalization, and that some rough set facts are true in general ...
Iwinski, Tadeusz B.
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Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems
Journal of Artificial Intelligence and Soft Computing Research, 2020 In real-world approximation problems, precise input data are economically expensive. Therefore, fuzzy methods devoted to uncertain data are in the focus of current research.
Janusz T. Starczewski +2 more
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, 2008 Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effective tool in classification problems and decision support. In the majority of applications using RST based methodologies, there is the construction of ‘if ..
Beynon, Malcolm James, Malcolm J. Beynon
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Structures of Opposition in Fuzzy Rough Sets [PDF]
Fundamenta Informaticae, 2015 The square of opposition is as old as logic. There has been a recent renewal of interest on this topic, due to the emergence of new structures (hexagonal and cubic) extending the square. They apply to a large variety of representation frameworks, all based on the notions of sets and relations. After a reminder about the structures of opposition, and an
CIUCCI, DAVIDE ELIO +2 more
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Fuzzy rough set models over two universes using textures
, 2022 The purpose of this paper is twofold: firstly, to exhibit the existence of a reasonable connection between fuzzy relations and (textural) fuzzy direlations in terms of fuzzy logical connectives; and secondly, to give a new perspective with respect to ...
DİKER, MURAT, Ugur, Ayseguel Altay
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AxiomsIn this research, we introduce the intuitionistic hesitant fuzzy rough set by integrating the notions of an intuitionistic hesitant fuzzy set and rough set and present some intuitionistic hesitant fuzzy rough set theoretical operations. We compile a list
Attaullah +3 more
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