Authors:
Deyan G. Mavrov
1
;
Irina Radeva
2
;
Krassimir T. Atanassov
3
;
Lyubka A. Doukovska
4
and
Ivan Kalaykov
5
Affiliations:
1
Prof. D-r. Assen Zlatarov, Bulgaria
;
2
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria
;
3
Institute of Biophysics and Biomedical Engineering, Bulgaria
;
4
Bulgarian Academy of Sciences, Bulgaria
;
5
Örebro University, Sweden
Keyword(s):
InterCriteria Analysis, Software design, Software implementation, Intuitionistic fuzzy sets, Index matrix.
Abstract:
The InterCriteria Analysis (ICA) method offers an interesting new way for pairwise comparison of criteria
among a set of criteria, against which a set of objects have been evaluated. This has been designed as a
completely data driven method, which requires real data to practically see effect of its application.
A specialized software application has been developed, which requires as input one two-dimensional array
of data of the evaluation of the set of m objects against the set of n criteria, and after processing returns as
output two n×n tables, the first of which contains the membership parts, and the second – the nonmembership
parts of the intuitionistic fuzzy pairs that define the degrees of correlation between any two
criteria in the set of criteria. Having presented the implementation of the basic ICA algorithm in (Mavrov,
2015), we present here a recently developed additional feature for graphical interpretation of the results of
ICA, plotted as points in the Intuitionistic F
uzzy Interpretational Triangle, which reflects in the software
application the new theoretical developments of the ICA approach, as discussed in (Atanassova, 2015).
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