English

A total uncertainty measure for D numbers based on belief intervals

Artificial Intelligence 2018-01-03 v1

Abstract

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.

Keywords

Cite

@article{arxiv.1801.00702,
  title  = {A total uncertainty measure for D numbers based on belief intervals},
  author = {Xinyang Deng and Wen Jiang},
  journal= {arXiv preprint arXiv:1801.00702},
  year   = {2018}
}

Comments

14 pages, 2 figures. arXiv admin note: text overlap with arXiv:1711.09186

R2 v1 2026-06-22T23:34:34.189Z