Logical Pluralism and Neutrosophy: Reflections on the Nature of Truth
SciNexusesWhen students first encounter logic, their journey often begins with classical logic, a foundational framework widely applied in fields such as mathematics, computer science, and philosophy. The classical logic is a rigid structure with binary distinctions between true and false, frequently regarded as the default system of reasoning.
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Neutrosophy, A New Branch of Philosophy
, 2002 In this paper is presented a new branch of philosophy, called neutrosphy, which studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra.
Smarandache, Florentin
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Expanding Uncertainty Principle to Certainty-Uncertainty Principles with Neutrosophy and Quad-stage Method [PDF]
, 2015 The most famous contribution of Heisenberg is uncertainty principle. But the original uncertainty principle is improper. Considering all the possible situations (including the case that people can create laws) and applying Neutrosophy and Quad-stage ...
Fu Yuhua, Yuhua, Fu
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Automated image segmentation method to analyse skeletal muscle cross section in exercise-induced regenerating myofibers. [PDF]
Sci Rep, 2021 Rahmati M, Rashno A.
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Current Situation of the Integration of Neutrosophy in Requirements Engineering
This study conducts a comprehensive literature review to explore the integration of neutrosophic logic in Requirements Engineering (RE), addressing challenges such as uncertainty, ambiguity, and conflicting stakeholder perspectives. By systematically analyzing peer-reviewed studies from 2015 to 2024, the research synthesizes existing neutrosophic ...
Franklin Parrales-Bravo +3 more
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Neutrosophy in Arabic Philosophy [English version; and Arabic version] [PDF]
, 2007 Neutrosophy is a theory developed in 1995 by Florentin Smarandache as a generalization of dialectic. This theory considers every notion or idea together with its opposite or negation and the spectrum of "neutralities" (i.e. notions or ideas located between the two extremes, supporting neither nor ). The and ideas together are referred to as .
Smarandache, Florentin, Osman, Salah
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Differential Deep Convolutional Neural Network Model for Brain Tumor Classification. [PDF]
Brain Sci, 2021 Abd El Kader I +5 more
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Extraction of region of interest from brain MRI by converting images into neutrosophic domain using the modified S-function. [PDF]
J Med Imaging (Bellingham), 2021 Tufail Z +4 more
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Uncertain regression model with autoregressive time series errors. [PDF]
Soft comput, 2021 Chen D.
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