Work

A Rough Set-Based Decision Process for Evaluating and Promoting Green Community Sustainability

Year: 2026

Type: article

Abstract: Green communities play a critical role in advancing sustainable development; however, evaluating their performance and identifying appropriate improvement strategies remain challenging due to uncertain, incomplete, and multidimensional information. This study formalizes three key processes essential to green community governance—sustainability evaluation, attribute reduction, and decision-rule generation—and proposes a rough set-based decision framework that integrates quantitative indicators, expert knowledge, and rule-based reasoning. Using empirical assessment data from Nantou County, the framework identifies the most influential determinants of community performance, including accessibility-related facilities, remote-area status, and socioeconomic conditions. The results reveal clear drivers of sustainable community performance. Remote villages lacking community hubs face structural barriers to participation. Communities without facilities supporting vulnerable groups tend to stall at the registration stage, while bronze-level villages require equity-focused engagement despite possessing stronger resource endowments. Notably, silver-level performance is consistently associated with moderate income levels and moderate income disparity, underscoring socioeconomic balance—rather than economic extremes—as a key precondition for stable sustainability advancement. Together, these findings provide interpretable, evidence-based guidance for policymakers and community managers to identify performance gaps and allocate resources more effectively.

Source: Processes

DOI: 10.3390/pr14081318

Authors: Chun-Che Huang, Wen-Yau Liang, Yo-Der Huang, Tzu-Liang (Bill) Tseng, Chi-Wen Hsiao

Institutions: National Chi Nan University, National Changhua University of Education, National Taiwan University, The University of Texas at El Paso

Language: English

Topic: Rough Sets and Fuzzy Logic

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Reduced inequalities

Open Access status: gold

Estimated APC paid: $2,896