Akademik Məlumat İdarəetmə Sistemi
Discover Analytics, vol.2, no.1, pp.1-8, 2024 (Peer-Reviewed Journal)
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In this work, an intuitionistic fuzzy pattern recognition model is developed
to evaluate Social
Empowerment Index (SEI) for Azerbaijan which is one of the four
components constituting Social Quality. The global social and economic indices are
usually computed with classical methods, in which the data uncertainty and
fuzziness are not taken into account. The main advantageous points of the current research are to take into account
the fuzziness of input data and incurring fuzziness along the computation
process which also are the main reasons for application fuzzy logic
extension-based tools. The presented work integrates the following operations:
normalization of negative and positive affecting indicators, fuzzification of
normalized data, intuitionistic fuzzy preference relation-based weight computation,
checking the consistency of intuitionistic fuzzy preference relation matrices, intuitionistic
fuzzy aggregation of indicators and sub-indices, and intuitionistic fuzzy
pattern recognition based on similarity measures. The set-up algorithm in the
proposed paper makes it a comprehensive approach in computation of
socio-economic indices, compared to the
existing multiple criteria decision-making methods. The obtained results exhibit
SEI level in Azerbaijan, and the proposed approach can be applied in analysis
and estimation of other socio-economic phenomena.