Shannon Entropy for Neutrosophic Information

09/24/2018
by   Vasile Patrascu, et al.
0

The paper presents an extension of Shannon entropy for neutrosophic information. This extension uses a new formula for distance between two neutrosophic triplets. In addition, the obtained results are particularized for bifuzzy, intuitionistic and paraconsistent fuzzy information.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/02/2018

Shannon entropy for intuitionistic fuzzy information

The paper presents an extension of Shannon fuzzy entropy for intuitionis...
research
02/25/2021

New identities for the Shannon function and applications

We show how the Shannon entropy function H(p,q)is expressible as a linea...
research
03/06/2015

Information entropy as an anthropomorphic concept

According to E.T. Jaynes and E.P. Wigner, entropy is an anthropomorphic ...
research
01/28/2019

Shannon's entropy and its Generalizations towards Statistics, Reliability and Information Science during 1948-2018

Starting from the pioneering works of Shannon and Weiner in 1948, a plet...
research
10/06/2022

The Shannon Entropy of a Histogram

The histogram is a key method for visualizing data and estimating the un...
research
01/14/2022

Towards a Semantic Information Theory (Introducing Quantum Corollas)

The field of Information Theory is founded on Claude Shannon's seminal i...
research
04/16/2018

SpatEntropy: Spatial Entropy Measures in R

This article illustrates how to measure the heterogeneity of spatial dat...

Please sign up or login with your details

Forgot password? Click here to reset