ON THE NOTION OF DISTANCE REPRESENTING INFORMATION CLOSENESS: Possibility and Probability Distributions

DOI10.1080/03081078308960805zbMath0498.94006OpenAlexW2045608397MaRDI QIDQ3964449

Masahiko Higashi, George J. Klir

Publication date: 1983

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081078308960805

zbMATH Keywords

possibility distributionsprobability distributionsShannon informationpossibilistic informationdirected information divergencemetric distance based on information variation

Mathematics Subject Classification ID

Measures of information, entropy (94A17) Distribution theory (60E99)

Related Items (14)

The role of reconstructability analysis in social science research ⋮ On the uniqueness of possibilistic measure of uncertainty and information ⋮ Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like? ⋮ STRUCTURE OF POSSIBILISTIC INFORMATION METRICS AND DISTANCES: PROPERTIES ⋮ CONCEPTS OF FUZZY INFORMATION MEASURES ON CONTINUOUS DOMAINS ⋮ ON HIGASHI AND KLIR'S CONJECTURE ON A MEASURE OF INFORMATION CLOSENESS ⋮ Possibilistic fuzzy c-means with partial supervision ⋮ Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information ⋮ Unnamed Item ⋮ UNCERTAINTY AND ESTIMATION IN RECONSTRUCTABILITY ANALYSIS ⋮ POSSIBILISTIC INFORMATION METRICS AND DISTANCES: CHARACTERIZATIONS OF STRUCTURE ⋮ SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach ⋮ METRIC STRUCTURES ON POSSIBILITY DISTRIBUTIONS ⋮ Prior knowledge for learning networks in non-probabilistic settings

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• RECONSTRUCTABILITY ANALYSIS OF MULTI-DIMENSIONAL RELATIONS: A Theoretical Basis for Computer-Aided Determination of Acceptable Systems Models †
• RECONSTRUCTABILITY† ANALYSIS: Evaluation of Reconstruction Hypotheses‡
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• A CLASS OF FUZZY MEASURES BASED ON TRIANGULAR NORMS A general framework for the combination of uncertain information
• Laws of Information which Govern Systems
• On the representation and identification of structure systems

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