Qualitative Bipolar Decision Frameworks Viewed as Pessimistic/Optimistic Utilities
| Autor: | Florence Dupin de Saint-Cyr, Romain Guillaume |
|---|---|
| Přispěvatelé: | Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (IRIT-ADRIA), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, IEEE, ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ; Electronic ISBN:978-1-6654-4407-1 ; Electronic ISSN: 1558-4739 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021) 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), IEEE, Jul 2021, Luxembourg, Luxembourg. pp.1-14, ⟨10.1109/FUZZ45933.2021.9494517⟩ FUZZ-IEEE |
| DOI: | 10.1109/FUZZ45933.2021.9494517⟩ |
| Popis: | This is a draft version, the paper has been accepted in 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021; International audience; A bipolar structure called BLF expresses knowledge about decisions in terms of decision principles that are ranked and polarized according to the utility of the consequences of these decisions. A BLF allows us to compare decisions under incomplete knowledge. For a given decision, the BLF returns a vector of utility/dis-utility in terms of achievement of positive/negative goals. Decisions are compared thanks to these vectors. In this paper we focus on the link between the uncertain knowledge aggregation made by the BLF and classical aggregation functions used in decision under uncertainty and multi-criteria approaches. The main benefit of a BLF is that thanks to the bipolar scale, positive and negative goals can be dealt with independently under their own point of view (each of them being either pessimistic or optimistic). |
| Databáze: | OpenAIRE |
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