Results 21 to 30 of about 1,589 (220)
A Semi-lattice of Four-valued Literal-paraconsistent-paracomplete Logics
Bulletin of the Section of Logic, 2021 In this paper, we consider the class of four-valued literal-paraconsistent-paracomplete logics constructed by combination of isomorphs of classical logic CPC. These logics form a 10-element upper semi-lattice with respect to the functional embeddinig one
Natalya Tomova
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Change of logic, without change of meaning
Theoria, Volume 89, Issue 4, Page 414-431, August 2023., 2023 Abstract Change of logic is typically taken as requiring that the meanings of the connectives change too. As a result, it has been argued that legitimate rivalry between logics is under threat. This is, in a nutshell, the meaning‐variance argument, traditionally attributed to Quine.
Hitoshi Omori, Jonas R. B. Arenhart
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Cognitive colonialism: Nationality bias in Brazilian academic philosophy
Metaphilosophy, Volume 54, Issue 1, Page 106-118, January 2023., 2023 Abstract This paper presents the results of an experiment designed to test for nationality bias among members of the Brazilian philosophical community. Faculty members and postgraduate students from philosophy departments at seven Brazilian universities evaluated texts attributed to authors of European and Latin American nationalities. Results showed a
Murilo Rocha Seabra +3 more
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Rotary Inverted Pendulum Identification for Control by Paraconsistent Neural Network
IEEE Access, 2021 Artificial neural networks (ANNs) have been used over the last few decades to perform tasks by learning with comparisons. Fitting input-output models, system identification, control, and pattern recognition are some fields for ANN applications.
Arnaldo de Carvalho +4 more
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Noûs, Volume 56, Issue 4, Page 972-999, December 2022., 2022 Abstract The background of this paper (section 1) consists in a new account to foundation‐theoretic epistemology characterized by two features: (i) All beliefs are to be justified by deductive, inductive or abductive inferences from a minimalistic class of unproblematic (introspective or analytic) basic beliefs.
Gerhard Schurz
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A new bridge principle for the normativity of logic
Theoria, Volume 88, Issue 6, Page 1274-1292, December 2022., 2022 Abstract Logic appears to be normative for rational belief. The thesis of the normativity of logic holds that indeed logic has such a normative status. Gilbert Harman has questioned it, thereby giving rise to what has been called “Harman's skeptical challenge”.
Francesco Orilia
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Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Polygroups are an extended form of groups and a subclass of hypergroups that follow group‐type axioms. In this paper, we define a triplet single‐valued neutrosophic set, which is a generalization of fuzzy sets, intuitionistic fuzzy sets, and neutrosophic sets, and we combine this novel concept with hypergroups and polygroups.
M. Shazib Hameed +5 more
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Neutrosophic D’Agostino Test of Normality: An Application to Water Data
Journal of Mathematics, Volume 2021, Issue 1, 2021., 2021 The D’Agostino test has been widely applied for testing the normality of the data. The existing D’Agostino test cannot be applied when the data have some indeterminate observations or observations which are obtained from the complex systems. In this paper, we present a D’Agostino test under neutrosophic statistics.
Mohammed Albassam +3 more
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Paraconsistency in hybrid logic [PDF]
Journal of Logic and Computation, 2016 As in standard knowledge bases, hybrid knowledge bases (i.e. sets of information specified by hybrid formulas) may contain inconsistencies arising from different sources, namely from the many mechanisms used to collect relevant information. Being a fact, rather than a queer anomaly, inconsistency also needs to be addressed in the context of hybrid ...
Diana Costa 0001, Manuel A. Martins 0001
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Paraconsistent Random Forest: An Alternative Approach for Dealing With Uncertain Data
IEEE Access, 2019 Pattern recognition algorithms have introduced increasingly sophisticated solutions. However, many datasets are far from perfect; for example, they may include inconsistencies and have missing data, which may interfere with the classification process ...
Gabriela W. Favieiro, Alexandre Balbinot
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