A total uncertainty measure for D numbers based on belief intervals

12/25/2017
by   Xinyang Deng, et al.
0

As a generalization of Dempster-Shafer theory, the theory of D numbers is a new theoretical framework for uncertainty reasoning. Measuring the uncertainty of knowledge or information represented by D numbers is an unsolved issue in that theory. In this paper, inspired by distance based uncertainty measures for Dempster-Shafer theory, a total uncertainty measure for a D number is proposed based on its belief intervals. The proposed total uncertainty measure can simultaneously capture the discord, and non-specificity, and non-exclusiveness involved in D numbers. And some basic properties of this total uncertainty measure, including range, monotonicity, generalized set consistency, are also presented.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/30/2019

Belief and plausibility measures for D numbers

As a generalization of Dempster-Shafer theory, D number theory provides ...
research
03/13/2013

A Note on the Measure of Discord

A new entropy-like measure as well as a new measure of total uncertainty...
research
01/03/2020

Modeling Uncertainty and Imprecision in Nonmonotonic Reasoning using Fuzzy Numbers

To deal with uncertainty in reasoning, interval-valued logic has been de...
research
09/16/2011

Contradiction measures and specificity degrees of basic belief assignments

In the theory of belief functions, many measures of uncertainty have bee...
research
03/21/2020

Basic concepts, definitions, and methods in D number theory

As a generalization of Dempster-Shafer theory, D number theory (DNT) aim...
research
04/01/2019

An Alternative Set Model of Cognitive Jump

When we enumerate numbers up to some specific value, or, even if we do n...
research
04/13/2014

Distance function of D numbers

Dempster-Shafer theory is widely applied in uncertainty modelling and kn...

Please sign up or login with your details

Forgot password? Click here to reset