PROCEEDINGS IPMU '08
Uncertain Decision Making with Dempster-Shafer Theory
José M. Merigó, Montserrat Casanovas
We develop a new approach for
decision making with Dempster-Shafer
theory of evidence by using uncertain
information represented in the form of
interval numbers. We suggest the use of
different types of uncertain aggregation
operators in the problem. Then, we
obtain new aggregation operators such
as the belief structure - uncertain
ordered weighted averaging (BSUOWA)
operator and the BS -
uncertain hybrid averaging (BS-UHA)
operator, among others. Some of their
main properties are studied such as the
distinction between descending and
ascending orders and the analysis of
different particular cases.
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