MAXIMUM ENTROPY ALGORITHMS FOR UNCERTAINTY MEASURES

DOI10.1142/S021848859300005XzbMath1232.68120OpenAlexW1985207960MaRDI QIDQ3117232

Hidetomo Ichihashi, Yutaka Maeda, Nguyen Trung Hung

Publication date: 17 February 2012

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021848859300005x

zbMATH Keywords

entropyrandom setsevidence theorybelief function

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17)

Related Items (9)

Critique of modified Deng entropies under the evidence theory ⋮ Active classification using belief functions and information gain maximization ⋮ NOVEL APPROACHES FOR THE TRANSFORMATION OF FUZZY MEMBERSHIP FUNCTION INTO BASIC PROBABILITY ASSIGNMENT BASED ON UNCERTAINTY OPTIMIZATION ⋮ MEASURING TOTAL UNCERTAINTY IN DEMPSTER-SHAFER THEORY: A NOVEL APPROACH ⋮ Deng entropy ⋮ A new definition of entropy of belief functions in the Dempster-Shafer theory ⋮ Decomposition of conflict as a distribution on hypotheses in the framework on belief functions ⋮ Uncertainty evaluation for a Dezert–Smarandache theory-based localization problem ⋮ On the axiomatic requirement of range to measure uncertainty

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