Logical clustering approach for analysing digital economy and society performance of countries
- DOI
- 10.2991/eusflat-19.2019.76How to use a DOI?
- Keywords
- Logical clustering Interpolative Boolean Algebra Consistent fuzzy logic Digital Economy and Society Index Digital transformation Digital policy
- Abstract
Digitisation, digitalisation and digital transformation represent one of the primary incentives of today’s development. To successfully implement these changes, countries need to create smart digital policies which are evidence- and data-based. The study presented in this paper uses the logical clustering approach for grouping countries according to five dimensions of the Digital Economy and Society Index (DESI). Logical clustering employs Interpolative Boolean Algebra (IBA) as a consistent fuzzy approach, which means that all Boolean axioms are fulfilled. To measure proximity among countries, logical clustering uses IBA-based exclusive disjunction and logical aggregation. The general aim is to provide help in identifying directions for defining smart digital policies for achieving digital competitiveness of nations, based on the analysis of similarities among countries. The results indicate that logical clustering enables more comprehensive differentiation between clusters than the original composite index methodology does, and determination of the primary areas of action in clusters, among similar countries. Some interesting cases where logical clustering results differ from the original methodology are discussed.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jovana Rakićević AU - Aleksandar Rakićević AU - Ana Poledica PY - 2019/08 DA - 2019/08 TI - Logical clustering approach for analysing digital economy and society performance of countries BT - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) PB - Atlantis Press SP - 550 EP - 557 SN - 2589-6644 UR - https://doi.org/10.2991/eusflat-19.2019.76 DO - 10.2991/eusflat-19.2019.76 ID - Rakićević2019/08 ER -