QUANTIFICATION OF CONFLICT IN DEMPSTER-SHAFER FRAMEWORK: A NEW APPROACH
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Publication:4895005
DOI10.1080/03081079608945130zbMath0856.90153OpenAlexW2088070318MaRDI QIDQ4895005
Thomas F. George, Nikhil R. Pal
Publication date: 10 October 1996
Published in: International Journal of General Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081079608945130
Related Items (15)
On the combination and normalization of interval-valued belief structures ⋮ A new divergence measure for belief functions in D-S evidence theory for multisensor data fusion ⋮ On quantification of different facets of uncertainty ⋮ Deng entropy ⋮ A novel quantum belief entropy for uncertainty measure in complex evidence theory ⋮ A generalization of Rényi entropy for basic probability assignment ⋮ An evidential Markov decision making model ⋮ The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees ⋮ An improved data fusion method based on weighted belief entropy considering the negation of basic probability assignment ⋮ A correlation coefficient for belief functions ⋮ Analyzing the degree of conflict among belief functions ⋮ Uncertainty evaluation for a Dezert–Smarandache theory-based localization problem ⋮ An improved belief entropy and its application in decision-making ⋮ Environmental impact assessment using the evidential reasoning approach ⋮ Geometric views on conflicting mass functions: from distances to angles
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- Uncertainty measures for evidental reasoning. II: A new measure of total uncertainty
- MEASURES OF ENTROPY IN THE THEORY OF EVIDENCE
- UNCERTAINTY IN THE DEMPSTER-SHAFER THEORY: A CRITICAL RE-EXAMINATION
- ENTROPY AND SPECIFICITY IN A MATHEMATICAL THEORY OF EVIDENCE
- A NOTE ON MEASURES OF SPECIFICITY FOR FUZZY SETS
- MEASURING TRANQUILITY AND ANXIETY IN DECISION MAKING: AN APPLICATION OF FUZZY SETS
- MEASURES OF UNCERTAINTY AND INFORMATION BASED ON POSSIBILITY DISTRIBUTIONS
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