title: |
The Uncertain Generalized Probabilistic Weighted Average and its Application in the Theory of Expertons |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 852 - 859 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
José M. Merigó, Montserrat Casanovas |
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publication date: |
July 2011 |
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keywords: |
Theory of expertons; Probabilistic weighted average; Interval numbers; Decision making |
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abstract: |
We introduce the uncertain generalized probabilistic
weighted averaging (UGPWA) operator. It is an aggregation
operator that unifies the probability and the
weighted average in the same formulation considering
the degree of importance that each concept has in the
aggregation. Moreover, it is able to assess uncertain environments
that can not be assessed with exact numbers
but it is possible to use interval numbers. Thus, we can
analyze imprecise information considering the minimum
and the maximum result that may occur. We analyze
the applicability of this new approach in a multiperson
decision making problem by using the theory of
expertons. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |