A model of weather forecast by fuzzy grade statistics
Fuzzy Sets and Systems
Theory of expertons and fuzzy logic
Fuzzy Sets and Systems - Mathematical Modelling
Advances in the Dempster-Shafer theory of evidence
Advances in the Dempster-Shafer theory of evidence
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
Weighted fuzzy averages in fuzzy environment: part I. Insufficient expert data and fuzzy averages
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Restored fuzzy measures in expert decision-making
Information Sciences: an International Journal
Using a minimal fuzzy covering in decision-making problems
Information Sciences: an International Journal
Classic Works of the Dempster-Shafer Theory of Belief Functions
Classic Works of the Dempster-Shafer Theory of Belief Functions
On the entropy of fuzzy measures
IEEE Transactions on Fuzzy Systems
WSEAS Transactions on Information Science and Applications
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
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The analysis of Dempster-Shafer temporalized structure is performed for the construction of more precise decisions based on the expert knowledge valuations. The relation of information precision is defined on the bodies of evidence. Negative inaccuracy is defined as the stream of rational expert knowledge in Dempster-Shafer temporalized structure. The principle of negative inaccuracy is developed, as the maximum principle of non-specificity measure and/or Shapley information entropy of a body of evidence. Corresponding mathematical programming problem is constructed. The possibilities of modeling more precise decisions are illustrated using Discrimination Analysis.