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Issue:Intercriteria analysis: From pairs to triples: Difference between revisions

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Title of paper: Intercriteria analysis: From pairs to triples
Author(s):
Vassia Atanassova
Bioinformatics and Mathematical Modelling Department, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, 105 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
vassia.atanassova@gmail.com
Lyubka Doukovska
Intelligent Systems Department, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 2 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
doukovska@iit.bas.bg
Alžbeta Michalíková
Faculty of Natural Sciences, Matej Bel University, Tajovského 40, 974 01, Banská Bystrica, Slovakia
alzbeta.michalikova@umb.sk
Irina Radeva
Intelligent Systems Department, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 2 Acad. G. Bonchev Str., Sofia 1113, Bulgaria
iradeva@iit.bas.bg
Published in: "Notes on IFS", Volume 22, 2016, Number 5, pages 98—110
Download:  PDF (123  Kb, File info)
Abstract: As a subsequent step in the theoretical research of the decision support method of Intercriteria Analysis (ICA), the authors focus on the idea of having triples of criteria in positive consonance. For this aim, we use as an example to illustrate our research the data from the World Economic Forums’ Global Competitiveness Reports for the year 2016-2017. The work hypothesis is that, given a record of intercriteria pairs that have exhibited positive consonance over a longer period of time, triples and n-tuples of more criteria can be detected among them featuring high enough pairwise consonance. Here the algorithm is proposed to identify and rank intercriteria triples. The particular interpretation of such triple of intercriteria consonances is a matter of further investigation by problem-specific experts.
Keywords: Intercriteria analysis, Intuitionistic fuzzy sets, Correlation, Consonance
AMS Classification: 03E72
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