The Journal of Grey System ›› 2025, Vol. 37 ›› Issue (2): 115-135.

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Complex Decision Making in Counties Socio-Economic and Security Contexts through Grey Clustering 

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  1. 1. Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Bucharest, 010552, Romania 2. Department of Administration and Public Management, Bucharest University of Economic Studies, Bucharest, 010552, Romania 
  • Online:2025-04-20 Published:2025-04-03
  • Supported by:
    This work was funded by the EU”s NextGenerationEU instrument through the National Recovery and Resilience Plan of Romania - Pillar III-C9-I8, managed by the Ministry of Research, Innovation and Digitization, within the project entitled „Placebased Economic Policy in EU”s Periphery – fundamental research in collaborative development and local resilience. Projections for Romania and Moldova (PEPER)”, contract no. 760045/23.05.2023, code CF 275/30.11.2022. Also, this study was co-financed by The Bucharest University of Economic Studies during the PhD program. 

Abstract: This paper examines the impact of varying the significance of socio-economic and security indicators on the satisfaction levels of citizens across different counties in Romania and Republic of Moldova. Using grey clustering analysis, a powerful tool offered by the grey systems theory, the counties are grouped into three clusters based on citizen satisfaction. Five different scenarios are explored, each assigning distinct weights to socio-economic and security indexes to evaluate their influence on the clustering outcomes. The findings indicate that increasing the emphasis on socio-economic factors leads to more counties experiencing higher levels of citizen satisfaction, particularly in Romania, where socio-economic stability is more robust. On the other hand, placing greater importance on security factors exposes governance-related challenges, as a clear division between the counties in Romania and Republic of Moldova can be observed. While when considering the security indexes, more counties are pushed in the higher levels of satisfaction clusters for the counties in Republic of Moldova, an opposite trend can be encountered for the counties in Romania. 

Key words: Regional disparities, Grey clustering, Grey systems theory, Placed-based economy, EU periphery, Romania, Republic of Moldova, Regional clusters