A Minkowski theory of observation: Application to uncertainty and fuzziness
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Publication:1096583
DOI10.1016/0165-0114(87)90092-3zbMath0633.94007OpenAlexW2002487439MaRDI QIDQ1096583
Publication date: 1987
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0165-0114(87)90092-3
semantic informationmeasures of uncertaintycomplete discrete entropyinformational invariancelinear observationshannon entropy
Measures of information, entropy (94A17) Information theory (general) (94A15) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)
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Cites Work
- A Mathematical Theory of Communication
- On measures of information and their characterizations
- Probability measures of fuzzy events
- An Information-Theoretic Proof of the Central Limit Theorem with Lindeberg Conditions
- A Model of Positive and Negative Information in thé Standard Framework of Communication Theory — Application to Encoding
- Mixed Theories of Information can be Derived by Using Shannon Information Only
- A General Paradigm for Subjectivity in Communication, Subjective Trausinformation and Subjective Transuncertainty
- MEASURES OF UNCERTAINTY AND INFORMATION BASED ON POSSIBILITY DISTRIBUTIONS
- Further advances on the general thermodynamics of open systems via information theory: effective entropy, negative information
- A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory
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