Development of a multi-objective type-2 fuzzy interval stochastic programming model for water allocation in Minnan region integrating agricultural products and greenhouse gas emission under uncertainty

Key Points

• Water allocation efficiency is enhanced through a multi-objective fuzzy programming approach, balancing agricultural needs and emissions.
• The model integrates assessments of agricultural products and greenhouse gas emissions under uncertainty, revealing practical implications for resource management.
• Observational analysis utilizing fuzzy interval stochastic programming provides a robust framework for handling environmental variability in allocation strategies.
• This modeling framework supports sustainable agricultural practices while addressing environmental concerns, emphasizing the need for integrated solutions.