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.
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 | Synapse