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TitleGroup decision making and quality-of-information in e-Health systems
Author(s)Lima, Luís
Novais, Paulo
Costa, Ricardo André Fernandes
Cruz, José Bulas
Neves, José
KeywordsGroup Decision Support Systems
Incomplete information
Multivalued extended logic programming
Issue dateApr-2011
PublisherOxford University Press
JournalLogic Journal of the IGPL
Abstract(s)Knowledge is central to the modern economy and society. Indeed, the knowledge society has transformed the concept of knowledge and is more and more aware of the need to overcome the lack of knowledge when has to make options or address its problems and dilemmas. One`s knowledge is less based on exact facts and more on hypotheses, perceptions or indications. Even when we use new computational artefacts and novel methodologies for problem solving, like the use of Group Decision Support Systems (GDSS), the question of incomplete information is in most of the situations marginalized. On the other hand, common sense tells us that when a decision is made it is impossible to have a perception of all the information involved and the nature of its intrinsic quality. Therefore, something has to be made in terms of the information available and the process of its evaluation. It is under this framework that a Multi-valued Extended Logic Programming language will be used for knowledge representation and reasoning, leading to a model that embodies the Quality-of-Information (QoI) and its quantification, along the several stages of the decision making process. In this way it is possible to provide a measure of the value of the QoI that supports the decision itself. This model will be here presented in the context of a GDSS for VirtualECare, a system aimed at sustaining online healthcare services.
Publisher version
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)

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