Bayesian and non-Bayesian evidential updating
Artificial Intelligence
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
The Combination of Evidence in the Transferable Belief Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Readings in uncertain reasoning
Readings in uncertain reasoning
Perspectives on the theory and practice of belief functions
International Journal of Approximate Reasoning
On the justification of Dempster's rule of combination
Artificial Intelligence
Elements of information theory
Elements of information theory
Evidence, knowledge, and belief functions
International Journal of Approximate Reasoning - Special issue: The belief functions revisited: questions and answers
The validity of Dempster-Shafer belief functions
International Journal of Approximate Reasoning - Special issue: The belief functions revisited: questions and answers
Understanding evidential reasoning
International Journal of Approximate Reasoning - Special issue: The belief functions revisited: questions and answers
Advances in the Dempster-Shafer theory of evidence
Advances in the Dempster-Shafer theory of evidence
The Art of Causal Conjecture
An evidential theory approach to judgment-based decision-making (forest management)
An evidential theory approach to judgment-based decision-making (forest management)
Practical uses of belief functions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Combining ambiguous evidence with respect to ambiguous a priori knowledge. I. Boolean logic
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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The recent emergence of Smarandache's logic as foundations for a new general unifying theory for uncertain reasoning is becoming both a new philosophical and mathematical research field and could modify deeply our perception and understanding of our outer and inner worlds in coming years. The ability for neutrosophy to include all existing logics as special cases is undoubtedly appealing. Beside of all potenlial advantages of neutrosophy to handle antinomies and uncertainties, the current mathematical neutrosophic logic, does not deal directly with the important problem of combination of evidences provided by different bodies of evidence. This paper is the first attempt to develop new foundations for the combination of sources of information in a very general framework where information can be both uncertain and paradoxical. We develop a new rule of combination close to the ad-hoc Dempster-Shafer rule of combination where both conjunctions and disjunctions of assertions are explicitly taking into account in the fusion process. Through several simple examples, we show the efficiency of this new theory of plausible and paradoxical reasoning to solve problems where the Dempster-Shafer theory usually fails. Finally a theoretical bridge between the neutrosophic logic and our new theory is presented, in order to solve the delicate problem of the combination of neutrosophic evidences. The neutrosophic logic seems to be an appealing general framework (prerequesite) for dealing with uncertain and paradoxical sources of information through this new theory.