Combining Uncertain And Paradoxical Evidences For Dsm Hybrid Models
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Combining uncertain and paradoxical evidences for DSm hybrid models
This paper presents a general method for combining uncertain and paradoxical source of evidences for a wide class of fusion problems.
Combination of beliefs on hybrid DSm models
This chapter presents a general method for combining uncertain and paradoxical (i.e. highly conflicting) sources of evidence for a wide class of fusion problems. From the foundations of the DSmT we show how the DSm rule of combination can be extended to take into account all possible integrity constraints (if any) of the problem under consideration due to the true nature of elements/concepts involved into it.
The Combination of Paradoxical, Uncertain and Imprecise Sources of Information based on DSmT and Neutro-Fuzzy Inference
The management and combination of uncertain, imprecise, fuzzy and even paradoxical or high conflicting sources of information has always been, and still remains today, of primal importance for the development of reliable modern information systems involving artificial reasoning.