Indeterminacy in Neutrosophic Theories and their Applications

Main Article Content

Florentin Smarandache

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.

Downloads

Download data is not yet available.

Article Details

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
Section
Articles

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

Most read articles by the same author(s)