EconPapers    
Economics at your fingertips  
 

A family of distances for preference–approvals

Alessandro Albano (), José Luis García-Lapresta, Antonella Plaia () and Mariangela Sciandra ()
Additional contact information
Alessandro Albano: University of Palermo
Antonella Plaia: University of Palermo
Mariangela Sciandra: University of Palermo

Annals of Operations Research, 2023, vol. 323, issue 1, No 1, 29 pages

Abstract: Abstract A preference–approval on a set of alternatives consists of a weak order on that set and, additionally, a cut-off line that separates acceptable and unacceptable alternatives. In this paper, we propose a new method for defining the distance between preference–approvals taking into account jointly the disagreements in preferences and approvals for each pair of alternatives. The proposed distance is compared to the existing distance functions to deal with clustering problems. Specifically, we prove that our metric improves the estimated clusters in terms of both stability and accuracy.

Keywords: Preferences; Approval voting; Preference–approvals; Distances; Clustering (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-022-05008-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:323:y:2023:i:1:d:10.1007_s10479-022-05008-4

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

DOI: 10.1007/s10479-022-05008-4

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:323:y:2023:i:1:d:10.1007_s10479-022-05008-4