Paper Info
Title
Selecting Reference Set in Disaggregation Aggregation Multicriteria Decision Aid Approach Utilizing Clustering Techniques with Dissimilarity Thresholds
Abstract
The selection of the reference set in the frame of Disaggregation --Aggregation (D-A) methods (UTA*, UTA II, UTADIS), constitutes one of the most important steps of the process, while it influences the accuracy and reliability of the assessed preference model. The reference set ought to satisfy two conditions: a) the alternatives of the reference set should be familiar to the Decision Maker (DM) so as to express his/her preferences from a known situation; and b) the selected alternatives have to be representative of the total set, so that all the different points of view of the decision space to be taken into consideration. This paper presents a clustering technique that is embedded in the Multicriteria Decision Aid Systems MINORA and MIIDAS, which incorporates threshold of dissimilarity in order to support DMs or Decision Analysts (DAs) to select a representative reference set. This technique is compared with the most familiar multivariate data analysis clustering methods, such as k-means and hierarchical. Also, the technique is illustrated through a real world case study.
Year
DOI
Venue
2010
10.3233/978-1-60750-577-8-237
DSS
Keywords
Field
DocType
clustering techniques,total set,aid approach,reference set,clustering technique,uta ii,multicriteria decision aid systems,familiar multivariate data analysis,representative reference set,decision space,selecting reference set,disaggregation aggregation multicriteria decision,dissimilarity thresholds,decision analysts,decision maker
Data mining,Computer science,Total set,Multivariate analysis,Cluster analysis,Decision maker
Conference
Volume
ISSN
Citations 
212
0922-6389
0
PageRank 
References 
Authors
0.34
3
1
Name
Order
Citations
PageRank
Athanasios Spyridakos17314.60