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Analyzing a Bipolar Decision Structure through Qualitative Decision Theory

Dupin De Saint Cyr - Bannay, Florence and Guillaume, Romain Analyzing a Bipolar Decision Structure through Qualitative Decision Theory. (2017) KI - Künstliche Intelligenz, 31 (1). 53-62. ISSN 0933-1875

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Official URL: https://doi.org/10.1007/s13218-016-0468-2

Abstract

In this paper we study the link between a bipolar decision structure called BLF (bipolar leveled framework) and the qualitative decision theory based on possibility theory. A BLF defines the set of possible decision principles that may be used in order to evaluate the admissibility of a given candidate. A decision principle is a rule that relates some observations about the candidate to a given goal that the selection of this candidate may achieve or miss. The decision principles are ordered according to the importance of the goal they support. Oppositions to decision principles are also described in the BLF under the form of observations that contradict the realization of the decision principle. In order to show that this rich and visual framework is well founded we show how the notions defined in the BLF can be translated in terms of qualitative decision theory.

Item Type:Article
Additional Information:Thanks to Springer editor. This papers appears in KI - Künstliche Intelligenz ISSN: 0933-1875 The original PDF is available at: https://link.springer.com/article/10.1007/s13218-016-0468-2
HAL Id:hal-01712550
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:05 Feb 2018 13:45

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