A Neutrosophic Description Logic
Haibin Wang, Andre Rogatko, Florentin Smarandache, Rajshekhar, Sunderraman

TL;DR
This paper introduces a novel description logic framework that incorporates neutrosophic logic to handle fuzzy, incomplete, indeterminate, and inconsistent concepts, extending traditional crisp and fuzzy description logics.
Contribution
It defines the syntax, semantics, and properties of a neutrosophic description logic, enabling reasoning with uncertain and inconsistent knowledge.
Findings
Formal syntax and semantics for neutrosophic description logic
Ability to model fuzzy, incomplete, and inconsistent concepts
Supports reasoning with neutrosophic concepts
Abstract
Description Logics (DLs) are appropriate, widely used, logics for managing structured knowledge. They allow reasoning about individuals and concepts, i.e. set of individuals with common properties. Typically, DLs are limited to dealing with crisp, well defined concepts. That is, concepts for which the problem whether an individual is an instance of it is yes/no question. More often than not, the concepts encountered in the real world do not have a precisely defined criteria of membership: we may say that an individual is an instance of a concept only to a certain degree, depending on the individual's properties. The DLs that deal with such fuzzy concepts are called fuzzy DLs. In order to deal with fuzzy, incomplete, indeterminate and inconsistent concepts, we need to extend the fuzzy DLs, combining the neutrosophic logic with a classical DL. In particular, concepts become neutrosophic…
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