An Approach for Uncertainty Aggregation using Generalised Conjunction/Disjunction Aggregators

DOI

10.2991/ifsa-eusflat-15.2015.213How to use a DOI?

Keywords

DSS, GCD, Uncertainty, Aggregation.

Abstract

Decision Support Systems are often used in the area of system evaluation. The quality of the output of such a system is only as good as the quality of the data that is used as input. Uncertainty on data, if not taken into account, can lead to evaluation results that are not representative. In this paper, we propose a technique to extend Generalised Conjunction/Disjunction aggregators to deal with uncertainty in Decision Support Systems. We first define the logic properties of uncertainty aggregation through reasoning on strict aggregators and afterwards extend this logic to partial aggregators.

Copyright

© 2015, 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  - Robin De Mol
AU  - Ana Tapia-Rosero
AU  - Guy De Tré
PY  - 2015/06
DA  - 2015/06
TI  - An Approach for Uncertainty Aggregation using Generalised Conjunction/Disjunction Aggregators
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1499
EP  - 1506
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.213
DO  - 10.2991/ifsa-eusflat-15.2015.213
ID  - DeMol2015/06
ER  -