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DSS
2007

Modelling uncertain positive and negative reasons in decision aiding

13 years 11 months ago
Modelling uncertain positive and negative reasons in decision aiding
The use of positive and negative reasons in inference and decision aiding is a recurrent issue of investigation as far as the type of formal language to use within a DSS is concerned. A language enabling to explicitly take into account such reasons is Belnap's logic and the four valued logics derived from it. In this paper, we explore the interpretation of a continuous extension of a four valued logic as a necessity degree (in possibility theory). It turns out that, in order to take full advantage of the four values, we have to consider “sub-normalised” necessity measures. Under such a hypothesis four valued logics become the natural logical frame for such an approach. © 2006 Elsevier B.V. All rights reserved.
Meltem Öztürk, Alexis Tsoukiàs
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where DSS
Authors Meltem Öztürk, Alexis Tsoukiàs
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