Abstract
For inference problems involving combination of evidence with either fuzzy quantifiers or support intervals some basic properties are reviewed. An empirical study is reported that was set out to investigate consensus of human inference with model inferences. It is shown that consensus is heavily influenced by the factors positiveness, monotonicity, and entropy/nonspecificity. On the one hand, human heuristics distort consensus; on the other hand, specific model assumptions could be reformulated. An approach using conditional objects to this reformulation is outlined.
On leave from Institute for Psychology; Free University of Berlin; Habelschwerdter Allee 45; D - 1000 Berlin 33
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Spies, M. (1990). Imprecision in Human Combination of Evidence. In: Janko, W.H., Roubens, M., Zimmermann, HJ. (eds) Progress in Fuzzy Sets and Systems. Theory and Decision Library, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2019-4_14
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DOI: https://doi.org/10.1007/978-94-009-2019-4_14
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