A NON-SPECIFICITY MEASURE FOR CONVEX SETS OF PROBABILITY DISTRIBUTIONS-Reference-Cited by-同舟云学术

A NON-SPECIFICITY MEASURE FOR CONVEX SETS OF PROBABILITY DISTRIBUTIONS

Published:2000-06 Issue:03 Volume:08 Page:357-367
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

ABELLAN JOAQUIN¹,MORAL SERAFIN¹

Affiliation:

1. Dpto. Ciencias de la Computación e IA, ETSI Informática, Universidad de Granada, 18071 – Granada, Spain

Abstract

In belief functions, there are two types of uncertainty which are due to lack of knowledge: randomness and non-specificity. In this paper, we present a non-specificity measure for convex sets of probability distributions that generalizes Dubois and Prade's non-specificity measure in the Dempster-Shafer theory of evidence.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488500000253

Reference12 articles.

1. A Mathematical Theory of Communication

2. ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE

3. AN UNCERTAINTY MEASURE WITH MONOTONICITY UNDER THE RANDOM SET INCLUSION

4. COMPLETING A TOTAL UNCERTAINTY MEASURE IN THE DEMPSTER-SHAFER THEORY

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