A valuation-based language for expert systems
International Journal of Approximate Reasoning
Valuation-based systems: a framework for managing uncertainty in expert systems
Fuzzy logic for the management of uncertainty
Valuation-based systems for Bayesian decision analysis
Operations Research
Artificial Intelligence
Using Dempster-Shafer's belief-function theory in expert systems
Advances in the Dempster-Shafer theory of evidence
Valuation-based systems for decision analysis using belief functions
Decision Support Systems
Opportunistic multimodel diagnosis with imperfect models
Information Sciences: an International Journal
Model-based diagnostics and probabilistic assumption-based reasoning
Artificial Intelligence
Multilevel allocation modes — allocator control policies to share tasks between human and computer
Systems Analysis Modelling Simulation
Diagnosing tree-structured systems
Artificial Intelligence
Inference in Possibilistic Hypergraphs
IPMU '90 Proceedings of the 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems: Uncertainty in Knowledge Bases
The transferable belief model and other interpretations of Dempster-Shafer's model
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Computer aided fuzzy medical diagnosis
Information Sciences: an International Journal - Special issue: Medical expert systems
A reinforced iterative formalism to learn from human errors and uncertainty
Engineering Applications of Artificial Intelligence
Model-based diagnosis using structured system descriptions
Journal of Artificial Intelligence Research
Decision making in the TBM: the necessity of the pignistic transformation
International Journal of Approximate Reasoning
Comparing evidential graphical models for imprecise reliability
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
On the fusion of imprecise uncertainty measures using belief structures
Information Sciences: an International Journal
A multi-viewpoint system to support abductive reasoning
Information Sciences: an International Journal
Cooperation and learning to increase the autonomy of ADAS
Cognition, Technology and Work - Special Issue on Human-automation Coagency
Combining uncertainty and imprecision in models of medical diagnosis
Information Sciences: an International Journal
Modeling uncertainty in clinical diagnosis using fuzzy logic
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Artificial Intelligence in Medicine
IEEE Transactions on Fuzzy Systems
| Hi-index | 0.07 |
The paper proposes an approach to support human abductive reasoning in the diagnosis of a multiviewpoint system. The novelty of this work lies on the capability of the approach to treat the uncertainty held by the agent performing the diagnosis. To do so, we make use of evidential networks to represent and propagate the uncertain evidence gathered by the agent. Using forward and backward propagation of the information, the impact of the evidence over the different symptoms and causes of failure is quantified. The agent can then make use of this information as additional hints in an iterative diagnosis process until a desired degree of certainty is obtained. The model is compared with a deterministic one in which evidence is represented by binary states, that is, a symptom is either observed or not.