Bi-capacities -- Part I: definition, Möbius transform and interaction
| dc.creator | Grabisch, Michel | |
| dc.creator | Labreuche, Christophe | |
| dc.date | 2007-11-14 | |
| dc.date.accessioned | 2026-07-07T08:42:52Z | |
| dc.date.available | 2026-07-07T08:42:52Z | |
| dc.description | Bi-capacities arise as a natural generalization of capacities (or fuzzy measures) in a context of decision making where underlying scales are bipolar. They are able to capture a wide variety of decision behaviours, encompassing models such as Cumulative Prospect Theory (CPT). The aim of this paper in two parts is to present the machinery behind bi-capacities, and thus remains on a rather theoretical level, although some parts are firmly rooted in decision theory, notably cooperative game theory. The present first part is devoted to the introduction of bi-capacities and the structure on which they are defined. We define the Möbius transform of bi-capacities, by just applying the well known theory of M\" obius functions as established by Rota to the particular case of bi-capacities. Then, we introduce derivatives of bi-capacities, by analogy with what was done for pseudo-Boolean functions (another view of capacities and set functions), and this is the key point to introduce the Shapley value and the interaction index for bi-capacities. This is done in a cooperative game theoretic perspective. In summary, all familiar notions used for fuzzy measures are available in this more general framework. | |
| dc.identifier | https://arxiv.org/abs/0711.2114 | |
| dc.identifier | http://arxiv.org/abs/0711.2114 | |
| dc.identifier | Fuzzy Sets and Systems (2005) 211-236 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/142115 | |
| dc.subject | Discrete Mathematics | |
| dc.subject | Computer Science and Game Theory | |
| dc.title | Bi-capacities -- Part I: definition, Möbius transform and interaction | |
| dc.type | text |