The Uncertain Generalized Probabilistic Weighted Average and its Application in the Theory of Expertons

DOI

10.2991/eusflat.2011.152How to use a DOI?

Keywords

Theory of expertons; Probabilistic weighted average; Interval numbers; Decision making

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.

Copyright

© 2011, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - José M. Merigó
AU  - Montserrat Casanovas
PY  - 2011/08
DA  - 2011/08
TI  - The Uncertain Generalized Probabilistic Weighted Average and its Application in the Theory of Expertons
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 852
EP  - 859
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.152
DO  - 10.2991/eusflat.2011.152
ID  - Merigó2011/08
ER  -