(2003) Reasoning about Uncertainty, The MIT Press. ![]() (1962) Subjective probabilities inferred from decisions, Psychological Review 69 109–135. (1953) Probability-preferences in gambling, American Journal of Psychology 66 349–364.Įdwards, W. ![]() (1982) A class of fuzzy measures based on triangular norms: a general framework for the combination of uncertain information, Int. (1967) Upper and lower probabilities induced by a multivalued mapping, Ann. (1985) Aggregation of fuzzy opinions - An axiomatic approach, Fuzzy Sets and Systems 17 249–258.Ĭhoquet, G. (1989) Some characterizations of lower probabilities and other monotone capacities through the use of Möbius inversion, Mathematical Social Sciences 17:3 263–283.Ĭholewa, W. (1996) Decomposable measures, distorted probabilities and concave capacities, Mathematical Social Sciences 31 19–37.Ĭhateauneuf, A., Jaffray, J.-Y. (1994) Combination of compatible belief functions and relation of specificity, in Advances in Dempster-Shafer Theory of Evidence, Wiley, 97–114.Ĭhateauneuf, A. (1945), Theories du potentiel newtonien: energie, capacite, suites de potentiels Bulletin de la Societe Mathematique de France, 73 74–106.Ĭhateauneuf, A. (1949) Statistical inference, Journal of the Royal Statistical Society, Series B XI:2 115–149.Ĭartan, H. (1974) Values of Non-Atomic Games, Princeton University Press.īarnard, G. This process is experimental and the keywords may be updated as the learning algorithm improves.Īumann, R. These keywords were added by machine and not by the authors. In a similar way, other aggregation functions use other parameterizations. ![]() For example, when fusing data from sensors, we can express wich sensor is more likely to give data of better quality and which is more likely to give erroneous data. In an application, we can use them to express the reliability of the information sources (sensors, experts, and so on). For example, it is well known that in the case of the weighted mean, the weights - i.e., the weighting vector - play this role. Applying the jargon of artificial intelligence, we can say that the parameters are used to represent the background knowledge. Most aggregation operators use some kind of parameterization to express additional information about the objects that take part in the aggregation process.
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