A fuzzy probabilistic information system comparison criterion: Applications and properties

DOI10.1016/0165-0114(93)90493-2zbMath0789.94010OpenAlexW2064986759MaRDI QIDQ1319123

Julio Angel Pardo, M. Luisa Menendez, Inder Jeet Taneja

Publication date: 12 April 1994

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-0114(93)90493-2

zbMATH Keywords

information measuresLehmann's criterionsufficiency criterion

Mathematics Subject Classification ID

Measures of information, entropy (94A17) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

Related Items (1)

The minimum \(\phi\)-divergence estimates with fuzzy observations: Statistical applications

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A generalized class of certainty and information measures
• Trigonometric entropies, Jensen difference divergence measures, and error bounds
• Statistical aspects of divergence measures
• A sequential selection method of a fixed number of fuzzy information systems based on the information energy gain
• Comparing location experiments
• Sufficient fuzzy information systems
• Comparison of experiments and information measures
• Quantity of information; comparison between information systems. II. Fuzzy states
• Probability measures of fuzzy events
• On a Measure of the Information Provided by an Experiment
• COMPARISON BETWEEN FUZZY INFORMATION SYSTEMS
• ON SOME INEQUALITIES AND GENERALIZED ENTROPIES: A UNIFIED APPROAC
• THE f*‐DIVERGENCE AS A CRITERION OF COMPARISON BETWEEN FUZZY INFORMATION SYSTEMS
• Uncertainty, Information, and Sequential Experiments
• Non-Equivalent Comparisons of Experiments and Their Use for Experiments Involving Location Parameters
• Equivalent Comparisons of Experiments

This page was built for publication: A fuzzy probabilistic information system comparison criterion: Applications and properties