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IFRP: a hybrid interval-parameter fuzzy robust programming approach for waste management planning under uncertainty
1Sino-Canada Center of Energy and Environmental Research, North China Electric Power University, Beijing, China 102206.
Journal of Environmental Management
|July 21, 2006
Summary
This study introduces an interval-parameter fuzzy-robust programming (IFRP) model for solid waste management planning. The IFRP model effectively handles complex uncertainties, providing robust solutions that balance system optimality and stability.
Area of Science:
- Operations Research
- Environmental Engineering
- Decision Science
Background:
- Solid waste management planning requires robust methods to address complex uncertainties.
- Existing fuzzy-robust programming and interval-parameter linear programming have limitations in handling complex uncertainty presentations.
Purpose of the Study:
- To develop and apply an interval-parameter fuzzy-robust programming (IFRP) model for solid waste management systems.
- To explicitly address and manage complex system uncertainties in optimization processes.
- To enhance the robustness of optimization solutions through a novel approach.
Main Methods:
- Development of an interval-parameter fuzzy-robust programming (IFRP) model.
- Representation of parameters using interval numbers and fuzzy membership functions.
- Introduction of fuzzy boundary intervals to handle highly uncertain parameter bounds.
Main Results:
- The IFRP model successfully generated practical solutions for municipal solid waste management.
- Solutions demonstrated a trade-off between system optimality and stability.
- Increased costs correlated with enhanced system stability, while cost reduction risked instability.
Conclusions:
- The proposed IFRP model is effective for planning under complex and uncertain conditions.
- The methodology offers a robust approach for practical decision-making in solid waste management.
- The study highlights the importance of balancing cost and stability in waste management systems.
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