Mixtures of weighted distance-based models for ranking data with applications in political studies

2012 ◽  
Vol 56 (8) ◽  
pp. 2486-2500 ◽  
Author(s):  
Paul H. Lee ◽  
Philip L.H. Yu
Keyword(s):  
Ranking Data ◽  
Weighted Distance ◽  
Political Studies

Mixtures of Weighted Distance-Based Models for Ranking Data

2010 ◽  
pp. 517-524 ◽  
Author(s):  
Paul H. Lee ◽  
Philip L. H. Yu
Keyword(s):  
Ranking Data ◽  
Weighted Distance

scholarly journals Consensus among preference rankings: a new weighted correlation coefficient for linear and weak orderings

2021 ◽  
Author(s):  
Antonella Plaia ◽  
Simona Buscemi ◽  
Mariangela Sciandra
Keyword(s):  
Correlation Coefficient ◽  
Real Life ◽  
Rank Correlation ◽  
Ranking Data ◽  
Weighted Distance ◽  
Preference Data ◽  
One To One ◽  
The One ◽  
Weighted Rank ◽  
Weighted Correlation

AbstractPreference data are a particular type of ranking data where some subjects (voters, judges,...) express their preferences over a set of alternatives (items). In most real life cases, some items receive the same preference by a judge, thus giving rise to a ranking with ties. An important issue involving rankings concerns the aggregation of the preferences into a “consensus”. The purpose of this paper is to investigate the consensus between rankings with ties, taking into account the importance of swapping elements belonging to the top (or to the bottom) of the ordering (position weights). By combining the structure of $$\tau _x$$ τ x proposed by Emond and Mason (J Multi-Criteria Decis Anal 11(1):17–28, 2002) with the class of weighted Kemeny-Snell distances, a position weighted rank correlation coefficient is proposed for comparing rankings with ties. The one-to-one correspondence between the weighted distance and the rank correlation coefficient is proved, analytically speaking, using both equal and decreasing weights.

Weighted distance-based trees for ranking data

2017 ◽  
Vol 13 (2) ◽  
pp. 427-444 ◽  
Author(s):  
Antonella Plaia ◽  
Mariangela Sciandra
Keyword(s):  
Ranking Data ◽  
Weighted Distance

Weighted-distance-based asynchronous retrieval for mechanical design images

2013 ◽  
Vol 33 (5) ◽  
pp. 1406-1410 ◽  
Author(s):  
Naiwei FANG ◽  
Xueqiang LV ◽  
Dan ZHANG ◽  
Hongwei WANG
Keyword(s):  
Mechanical Design ◽  
Weighted Distance

3‐D texture characterized by accessibility measurements, based on the grey weighted distance transform

Bioimaging ◽  
1994 ◽  
Vol 2 (1) ◽  
pp. 1-21 ◽  
Author(s):  
Karel C Strasters ◽  
Arnold W M Smeulders ◽  
Hans T M van der Voort
Keyword(s):  
Distance Transform ◽  
Weighted Distance
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