Evaluation of sustainable healthcare waste disposal techniques via an interval-valued p,q-rung orthopair fuzzy framework
Journal of Cleaner Production, cilt.561, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 561
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.jclepro.2026.148394
- Dergi Adı: Journal of Cleaner Production
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chimica, Compendex, INSPEC, Public Affairs Index, Academic Search Ultimate (EBSCO), Business Source Ultimate (EBSCO), Engineering Source (EBSCO)
- Anahtar Kelimeler: Disposal technique selection, Healthcare waste disposal, Interval-valued p,q-rung orthopair fuzzy sets, Multi-criteria decision-making, Sustainability, Waste management
- İnönü Üniversitesi Adresli: Evet
Özet
Selecting the most sustainable healthcare waste disposal technique is a significant yet complex multi-criteria decision-making (MCDM) issue that requires weighing conflicting sustainability criteria and evaluating the pros and cons of alternative disposal methods. However, existing MCDM frameworks often face methodological challenges, including uncertainty arising from subjective judgments, imprecise data, and interdependencies among criteria. To bridge these gaps, this research proposes a novel integrated MCDM framework combining Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW), Step-Wise Weight Assessment Ratio Analysis (SWARA), and Alternative Prioritization and Assessment System (ALPAS) under interval-valued (IV) p,q-rung orthopair fuzzy sets (ROFSs) for the first time. The IV-p,q-ROF LOPCOW and IV-p,q-ROF SWARA methods are used to determine the objectivity and subjectivity of criterion weights, while IV-p,q-ROF ALPAS is applied to rank the alternatives. Thus, the IV-p,q-ROF LOPCOW-SWARA-ALPAS framework enables efficient processing of ambiguous information, balanced weighting of subjective and objective criteria, and the calculation of a combined utility value for each alternative based on the ideal and anti-ideal solutions, thereby indicating the model's contributions. The most sustainable healthcare waste-disposal technique is selected based on 12 criteria that address the triple bottom line of sustainability among five non-incineration disposal techniques. The results indicate that occupational health and safety is the most critical criterion, followed by cost-effectiveness and energy efficiency. Furthermore, autoclaving is the most sustainable disposal technique, followed by microwave treatment and plasma pyrolysis. The proposed framework provides practical guidance for policymakers and healthcare decision-makers in addressing the complexities of sustainable healthcare waste management.