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Information Sciences: an International Journal
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Uniqueness of information measure in the theory of evidence
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
On the uniqueness of possibilistic measure of uncertainty and information
Fuzzy Sets and Systems - Special Issue: Measures of Uncertainty
A methodology for uncertainty in knowledge-based systems
A methodology for uncertainty in knowledge-based systems
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Fuzzy sets and fuzzy logic: theory and applications
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Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A. Zadeh
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On fuzzy-set interpretation of possibility theory
Fuzzy Sets and Systems
A non-specificity measure for convex sets of probability distributions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - special issue on models for imprecise probabilities and partial knowledge
Rough Sets: Theoretical Aspects of Reasoning about Data
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Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Fuzzy Measure Theory
Soft Computing and Fuzzy Logic
IEEE Software
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An axiomatic approach to the definition of the entropy of a discrete Choquet capacity
Information Sciences—Informatics and Computer Science: An International Journal
Uncertain reasoning and decision making
Intelligent information processing II
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A definition of subjective possibility
International Journal of Approximate Reasoning
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An axiomatic approach to the definition of the entropy of a discrete Choquet capacity
Information Sciences: an International Journal
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International Journal of Approximate Reasoning
Measuring consensus in group decisions by means of qualitative reasoning
International Journal of Approximate Reasoning
Computational Biology and Chemistry
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It is shown in this paper how the emergence of fuzzy set theory and the theory of monotone measures considerably expanded the framework for formalizing uncertainty and suggested many new types of uncertainty theories. The paper focuses on issues regarding the measurement of the amount of relevant uncertainty (predictive, prescriptive, diagnostic, etc.) in nondeterministic systems formalized in terms of the various uncertainty theories. It is explained how information produced by an action can be measured by the reduction of uncertainty produced by the action. Results regarding measures of uncertainty (and uncertainty-based information) in possibility theory, Dempster–Shafer theory, and the various theories of imprecise probabilities are surveyed. The significance of these results in developing sound methodological principles of uncertainty and uncertainty-based information is discussed.