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Neutrosophic Theory for AI Perceptions by Victor Hermann is a document available to read on EtoBox.

What is Neutrosophic Theory for AI Perceptions about?

This paper outlines a neutrosophic-based computational theory of perceptions (n-CTP), introducing neutrosophic granular (n-granular) information and neutrosophic constraint-centered semantics of natural languages (n-CSNL). Based on the neutrosophy theory, which deals with truth, falsity, and indeterminacy, managing uncertainties and vagueness in real-world data can be done more effectively than with traditional methods.

Author

Victor Hermann

Language

EN