EconPapers    
Economics at your fingertips  
 

Probabilistic values on convex geometries

J.M. Bilbao, E. Lebrón and N. Jiménez

Annals of Operations Research, 1998, vol. 84, issue 0, 79-95

Abstract: A game on a convex geometry is a real-valued function defined on the family L of the closed sets of a closure operator which satisfies the finite Minkowski-Krein-Milmanproperty. If L is the Boolean algebra 2 N , then we obtain an n-person cooperative game. We will extend the work of Weber on probabilistic values to games on convex geometries. As a result, we obtain a family of axioms that give rise to several probabilistic values and a unique Shapley value for games on convex geometries. Copyright Kluwer Academic Publishers 1998

Date: 1998
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1018953323577 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:84:y:1998:i:0:p:79-95:10.1023/a:1018953323577

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1023/A:1018953323577

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:annopr:v:84:y:1998:i:0:p:79-95:10.1023/a:1018953323577