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Related Experiment Video

Updated: Jun 12, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Fuzzy robust credibility-constrained programming for environmental management and planning.

Yimei Zhang1, Guohe Hang

  • 1Department of Environmental System Engineering, Faculty of Engineering, University of Regina, Regina, Saskatchewan, Canada.

Journal of the Air & Waste Management Association (1995)
|June 23, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a fuzzy robust credibility-constrained programming (FRCCP) method for waste management planning. FRCCP effectively handles uncertainty, providing robust solutions for long-term solid waste management system planning.

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Last Updated: Jun 12, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

  • Environmental Engineering
  • Operations Research
  • Decision Science

Background:

  • Waste management systems face significant uncertainties in planning and operations.
  • Existing optimization methods may not adequately address fuzzy and robust uncertainties inherent in waste management.
  • Accurate planning is crucial for sustainable and cost-effective waste management.

Purpose of the Study:

  • To develop and apply a novel optimization framework, fuzzy robust credibility-constrained programming (FRCCP), for waste management system planning.
  • To integrate fuzzy-set theory and robust optimization to handle uncertainties in waste management.
  • To provide decision-making support for long-term solid waste management strategies.

Main Methods:

  • Developed a fuzzy robust credibility-constrained programming (FRCCP) model.
  • Incorporated credibility-based chance-constrained programming and robust programming.
  • Transformed fuzzy credibility constraints to crisp equivalents and fuzzy inclusion constraints to robust deterministic constraints using a-cut levels.

Main Results:

  • The FRCCP method provides different system costs based on varying credibility levels (lambda).
  • Sensitivity analyses identified landfill operation cost as a critical parameter influencing system costs.
  • The model offers valuable insights for managing cost fluctuations during landfill operations.

Conclusions:

  • FRCCP is a useful tool for supporting decision-making in long-term solid waste management system planning.
  • The method effectively handles uncertainties represented by fuzzy-membership functions.
  • The approach can be extended to other environmental management problems and enhanced with inexact analysis methods.