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Updated: Jun 2, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Interactive two-stage stochastic fuzzy programming for water resources management.

S Wang1, G H Huang

  • 1Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada. wangshuo725319@gmail.com

Journal of Environmental Management
|April 14, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces an interactive two-stage stochastic fuzzy programming (ITSFP) approach for water resource allocation under uncertainty. The method helps decision-makers balance economic efficiency with the risk of violating policy targets.

Related Experiment Videos

Last Updated: Jun 2, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

  • Operations Research
  • Environmental Management
  • Decision Science

Background:

  • Water resource allocation faces dual uncertainties from fuzzy intervals and policy violations.
  • Existing models struggle to balance economic goals with risk management in complex systems.

Purpose of the Study:

  • To develop an Interactive Two-Stage Stochastic Fuzzy Programming (ITSFP) approach.
  • To address dual uncertainties in objective functions and constraints.
  • To enable analysis of policy scenarios and economic penalties for target violations.

Main Methods:

  • Incorporation of an Interactive Fuzzy Resolution (IFR) method within an Inexact Two-Stage Stochastic Programming (ITSP) framework.
  • Modeling fuzzy boundary intervals in objective functions and constraints.
  • Interactive analysis of policy scenarios and trade-offs.

Main Results:

  • Generated a set of solutions for water resource allocation planning with varying feasibility degrees.
  • Demonstrated the approach's applicability in a water resource management case study.
  • Provided insights into trade-offs between economic efficiency and constraint-violation risk.

Conclusions:

  • The ITSFP approach facilitates interactive decision-making for water resource allocation.
  • Decision-makers can identify optimal compromises between goal satisfaction and risk of constraint violation.
  • The method supports informed decisions by analyzing policy impacts and economic consequences.