Requirements for total uncertainty measures in Dempster–Shafer theory of evidence
From MaRDI portal
Publication:3549310
DOI10.1080/03081070802082486zbMath1162.68682OpenAlexW2119703345MaRDI QIDQ3549310
Andrés R. Masegosa, Joaquín Abellán
Publication date: 22 December 2008
Published in: International Journal of General Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081070802082486
imprecise probabilitiesconflicttheory of evidencetotal uncertaintynon-specificityuncertainty based information
Related Items (15)
Critique of modified Deng entropies under the evidence theory ⋮ Combining nonspecificity measures in Dempster–Shafer theory of evidence ⋮ Equivalence relations among dominance concepts on probability intervals and general credal sets ⋮ NOVEL APPROACHES FOR THE TRANSFORMATION OF FUZZY MEMBERSHIP FUNCTION INTO BASIC PROBABILITY ASSIGNMENT BASED ON UNCERTAINTY OPTIMIZATION ⋮ On the negation of a Dempster-Shafer belief structure based on maximum uncertainty allocation ⋮ Analyzing properties of Deng entropy in the theory of evidence ⋮ A new definition of entropy of belief functions in the Dempster-Shafer theory ⋮ Fractal-based basic probability assignment: a transient mass function ⋮ Belief eXtropy: Measure uncertainty from negation ⋮ Higher order information volume of mass function ⋮ Fractal-based belief entropy ⋮ Maximising entropy on the nonparametric predictive inference model for multinomial data ⋮ Bim-afa: Belief information measure-based attribute fusion approach in improving the quality of uncertain data ⋮ Matrix games with payoffs of belief structures ⋮ Uncertain coalition structure game with payoff of belief structure
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Building classification trees using the total uncertainty criterion
- Uncertainty-based information. Elements of generalized information theory
- On measuring uncertainty and uncertainty-based information: recent developments
- Upper entropy of credal sets. Applications to credal classification
- Uncertainty and Information
- PROBABILITY INTERVALS: A TOOL FOR UNCERTAIN REASONING
- CALCULATING MAXIMUM-ENTROPY PROBABILITY DENSITIES FOR BELIEF FUNCTIONS
- Uncertainty measures on probability intervals from the imprecise Dirichlet model
- Disaggregated total uncertainty measure for credal sets
- ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE
- MEASURES OF UNCERTAINTY AND INFORMATION BASED ON POSSIBILITY DISTRIBUTIONS
- AN UNCERTAINTY MEASURE WITH MONOTONICITY UNDER THE RANDOM SET INCLUSION
- MEASURING TOTAL UNCERTAINTY IN DEMPSTER-SHAFER THEORY: A NOVEL APPROACH
- COMPLETING A TOTAL UNCERTAINTY MEASURE IN THE DEMPSTER-SHAFER THEORY
- AN ALGORITHM TO COMPUTE THE UPPER ENTROPY FOR ORDER-2 CAPACITIES
- Upper and Lower Probabilities Induced by a Multivalued Mapping
- Difference of entropies as a non-specificity function on credal sets†
This page was built for publication: Requirements for total uncertainty measures in Dempster–Shafer theory of evidence
