Interval multidimensional scaling for group decision using rough set concept
Resource
Expert Systems with Applications 31,525-530
Journal
Expert Systems with Applications 31
Pages
525-530
Date Issued
2006
Date
2006
Author(s)
DOI
246246/2006111501244140
Abstract
Multidimensional scaling (MDS) is a statistical tool for constructing a low-dimension configuration to represent the relationships among objects. In order to extend the conventional MDS analysis to consider the situation of uncertainty under group decision making, in this paper the interval-valued data is considered to represent the dissimilarity matrix in MDS & the rough sets concept is used for dealing with the problems of group decision making & uncertainty simultaneously. In addition, two numerical examples are used to demonstrate the proposed method in both the situation of individual differences scaling & the conventional MDS analysis with the interval-valued data, respectively. On the basis of the results, we can conclude that the proposed method is more suitable for the real-world problems.
Subjects
Multidimensional scaling (MDS)
Individual differences scaling
Uncertainty
Interval-valued data
Rough sets
Type
journal article
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