Sustainability performance predictions in supply chains: grey and rough set theoretical approaches

DOI10.1007/s10479-020-03835-xzbMath1485.90015OpenAlexW3095770079MaRDI QIDQ2115761

Yanyan Li

Publication date: 21 March 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-020-03835-x

zbMATH Keywords

rough set theorysustainabilitygrey theorysustainable supply chainsprediction models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Transportation, logistics and supply chain management (90B06) General systems (93A10)

Cites Work

• Quantitative models for managing supply chain risks: a review
• Control problems of grey systems
• Quantitative models for sustainable supply chain management: developments and directions
• Decision models for sustainable supply chain design and management
• A fuzzy goal programming model to analyze energy, environmental and sustainability goals of the United Arab Emirates
• Rough sets
• Unnamed Item

This page was built for publication: Sustainability performance predictions in supply chains: grey and rough set theoretical approaches