Eliciting beliefs

Chambers, Robert G.; Melkonyan, Tigran A.

doi:10.1007/s11238-008-9103-5

Cited by 2 publications

(1 citation statement)

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“…For example, Hurley and Shogren (2005) used an experiment to test whether an induced probability can be recovered using an elicitation mechanism based on predictions about a random event; Chambers and Melkonyan (2008) developed an algorithm to approximate a DM's beliefs for a very general class of decision-theoretic models that includes many common preference structures; and Yager et al (1994) collected a useful set of articles on DS, fuzzy reasoning, and neural computing.…”

Section: Formally Bel(e) = F⊆e M(f)mentioning

confidence: 99%

A Decision Rule Aggregation Approach to Multiple Criteria-Multiple Participant Sorting

2011

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A system that aggregates case-based linguistic decision rules using a hybrid of the dominance-based rough set approach (DRSA) and the Dempster-Shafer (DS) theory of evidence is proposed for multiple criterion-multiple participant sorting. First, DRSA is employed to infer linguistic decision rules that estimate the preferences of a few participants by means of their evaluations of representative case sets. Next, DS theory is applied to aggregate the decision rules triggered by all participants' evaluations of an alternative, thereby generating an overall decision recommendation for the alternative. The method is demonstrated on a numerical example.Keywords Group decision making · Multiple criteria-multiple participant sorting · Dominance-based rough set approach · Dempster-Shafer theory of evidence · Decision rule aggregation

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Section: Formally Bel(e) = F⊆e M(f)mentioning

confidence: 99%