A Novel Decision Algorithm for Assessing Digital Economy's Role in Growth: Using Circular q-Rung Orthopair Fuzzy Information Based on WASPAS Method
Year: 2026
Type: article
Abstract: In real life, decision-making algorithm is pivotal for economic growth and digital economy (EGDE), revolutionizing businesses, governments, and consumer engagement. To unlock its full potential, investing in digital infrastructure and inclusive policies is essential. The goal of this article is to develop a groundbreaking decision-making assessment framework for EGDE, evaluating five alternatives across five key criteria. Leveraging circular q-rung orthopair fuzzy (Cq-ROF) set (Cq-ROFS), our approach has membership degree (MD) and non-membership degree (NMD) while accounting for circular behavior, effectively managing uncertainty in assessments. Building on fuzzy set (FS) theory, our Cq-ROF information encompasses q-rung orthopair fuzzy (q-ROF) set (q-ROFS) as a special case. We define the weighted averaging operator (WAO) and the weighted geometric operator (WGO) within the Cq-ROFS, demonstrating their efficacy through examples and establishing crucial properties. Additionally, we introduce a novel model integrating the weighted aggregated sum product assessment (WASPAS) method with Cq-ROF information and suggest the linguistic terms in this framework. The superiority of our approach is validated through sensitivity analysis and comparative studies, showcasing its potential to tackle uncertainties in EDGE data.
DOI: 10.68924/eqqr1a03
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W7225633013