Entropy, neutro-entropy and anti-entropy for neutrosophic information
This work addresses theoretical complexity in neutrosophic information for researchers in fuzzy logic and information theory, but it appears incremental as it builds on existing concepts without clear practical applications.
The paper tackles the representation of neutrosophic information by constructing a deca-valued structure, leading to the introduction of two new concepts, neutro-entropy and anti-entropy, alongside existing entropy and non-entropy.
This approach presents a multi-valued representation of the neutrosophic information. It highlights the link between the bifuzzy information and neutrosophic one. The constructed deca-valued structure shows the neutrosophic information complexity. This deca-valued structure led to construction of two new concepts for the neutrosophic information: neutro-entropy and anti-entropy. These two concepts are added to the two existing: entropy and non-entropy. Thus, we obtained the following triad: entropy, neutro-entropy and anti-entropy.