Modeling Indeterminacy Propagation in Interval Neutrosophic Logic for Assessing High-Quality Economic Development in Provincial Regions

Abstract

This paper introduces a novel framework for analyzing high-quality economic 
development across provincial regions by modeling the propagation of indeterminacy 
within interval neutrosophic logic. Unlike traditional evaluation methods that emphasize 
deterministic or merely fuzzy logic models, this approach accounts for the intrinsic 
uncertainty and ambiguity in socioeconomic data by incorporating independent truth, 
indeterminacy, and falsity memberships. We construct a mathematical structure to trace 
how indeterminacy evolves across composite economic indicators and propose specific 
aggregation and inference mechanisms. A case study involving five Chinese provincial 
regions evaluates development across five key indicators: innovation capacity, 
environmental sustainability, economic efficiency, social equity, and infrastructure 
quality. Results demonstrate how indeterminacy behaves under regional variation and 
composite aggregation, offering deeper insights into development disparities and 
uncertainty embedded within expert assessments. The proposed model provides a 
foundational advancement for robust and interpretable evaluations of economic quality 
in complex, data-diverse environments. 

DOI: 10.5281/zenodo.15514455