Axioms, Journal Year: 2024, Volume and Issue: 13(2), P. 109 - 109

Published: Feb. 5, 2024

As digital technologies continue to reshape economic landscapes, the comprehensive evaluation of economy (DE) development in provincial regions becomes a critical endeavor. This article proposes novel approach, integrating linear programming method, fuzzy logic, and alternative ranking order method accounting for two-step normalization (AROMAN), assess multifaceted facets DE growth. The primary contribution AROMAN is coupling vector techniques produce accurate data structures that are subsequently utilized calculations. proposed methodology accommodates inherent uncertainties complexities associated with process, offering robust framework decision-makers. aspect optimizes weightings assigned different criteria, ensuring dynamic context-specific assessment. By incorporating model captures vagueness imprecision qualitative assessments, providing more realistic representation DE’s nature. further refines considering interdependencies among criteria enhancing accuracy evaluation. In ascertain efficacy suggested methodology, case study undertaken pertaining areas, showcasing its implementation comparison progress various geographical settings. outcomes illustrate capacity perceptive implementable insights policymakers, thereby enabling them make well-informed decisions implement focused interventions promote expansion DE. Moreover, managerial implications, theoretical limitations, comparative analysis also given method.

Language: Английский