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Qualitative Bipolar Decision Frameworks Viewed as Pessimistic/Optimistic Utilities

Abstract : 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).
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Contributor : Florence Dupin de Saint-Cyr Connect in order to contact the contributor
Submitted on : Friday, August 27, 2021 - 5:47:30 PM
Last modification on : Tuesday, October 19, 2021 - 2:23:17 PM
Long-term archiving on: : Sunday, November 28, 2021 - 6:53:36 PM


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Florence Dupin de Saint Cyr - Bannay, Romain Guillaume. Qualitative Bipolar Decision Frameworks Viewed as Pessimistic/Optimistic Utilities. 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), IEEE, Jul 2021, Luxembourg, Luxembourg. pp.1-14, ⟨10.1109/FUZZ45933.2021.9494517⟩. ⟨hal-03327992⟩



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