Indeterminacy in Neutrosophic Theories and their Applications
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Abstract
Indeterminacy constitutes the main distinction between sets/fuzzy or intuitionistic fuzzy logic (and other extensions of fuzzy logic) versus sets/neutrosophic logic, as well as between classical probability and neutrosophic probability. It also marks the difference between classical statistics and neutrosophic and plitonigene statistics, between classical algebraic structures and neutrosophic algebraic structures, between precise numbers and neutrosophic numbers. We present a broad definition of indeterminacy, various types of indeterminacy and numerous practical applications.
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Indeterminacy in Neutrosophic Theories and their Applications. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 39, 1-7. http://fs.unm.edu/NCML2/index.php/112/article/view/830
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How to Cite
Indeterminacy in Neutrosophic Theories and their Applications. (2025). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 39, 1-7. http://fs.unm.edu/NCML2/index.php/112/article/view/830