2026-05-30T10:49:34Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/276522026-02-03T12:02:30Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Burgueño-Caballero, Lola
author
Muñoz Ariza, Paula
author
Clarisó, Robert
author
Cabot, Jordi
author
Gérard, Sébastien
author
Vallecillo-Moreno, Antonio Jesús
2023-09-25T08:48:05Z
2023-09-25T08:48:05Z
2023
https://hdl.handle.net/10630/27652
There are numerous domains in which information systems need to deal with uncertain information. These uncertainties may originate from different reasons such as vagueness, imprecision, incompleteness or inconsistencies; and, in many cases, they cannot be neglected. In this paper, we are interested in representing and processing uncertain information in domain models, considering the stakeholders’ beliefs (opinions). We show how to associate beliefs to model elements, and how to propagate and operate with their associated uncertainty so that domain experts can individually reason about their models enriched with their personal opinions. In addition, we address the challenge of combining the opinions of different domain experts on the same model elements, with the goal to come up with informed collective decisions. We provide different strategies and a methodology to optimally merge individual opinions.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Incertidumbre (Teoría de la información)
Ingeniería del software
Dealing with Belief Uncertainty in Domain Models.
conference output
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URL
https://riuma.uma.es/bitstreams/2830d07e-17ce-4ef9-9553-c929b7002868/download
File
MD5
eec29772b841c805c5931e266c1db7cb
209927
application/pdf
JISBD_2023_paper_2707_riuma.pdf