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Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty

Author

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  • Yang Zhang

    (College of Economics & Management, China Jiliang University, Hangzhou 310018, China)

  • Jing Shen

    (College of Economics & Management, China Jiliang University, Hangzhou 310018, China)

Abstract

When planning wetland restoration projects, the planting area allocation and the costs of the restoration measures are two major issues faced by decision makers. In this study, a framework based on the interval fuzzy linear programming (IFLP) method is introduced for the first time to plan wetland restoration projects. The proposed framework can not only effectively deal with interval and fuzzy uncertainties that exist in the planning process of wetland restorations but also handle trade-offs between ecological environment benefits and economic cost. This framework was applied to a real-world wetland restoration planning problem in the northeast of China to verify its validity and examine the credibility of the constraints. The optimized results obtained from the framework that we have developed indicate that higher ecological and social benefits can be obtained with optimal restoration costs after using the wetland restoration decision-making framework. The optimal restoration measure allocation schemes obtained by IFLP under different credibility levels can help decision makers generate a range of alternatives, which can also provide decision suggestions to local managers to generate a satisfactory decision-making plan. Furthermore, a comparison was made between the IFLP model and ILP model in this study. The comparison results indicate that the IFLP model provides more information regarding ecological environment and economic trade-offs between the system objective, certainty, and reliability. This framework provides managers with an effective way to plan wetland restoration projects, while transference of the model may help solve similar problems.

Suggested Citation

  • Yang Zhang & Jing Shen, 2021. "Wetland Restoration Planning Approach Based on Interval Fuzzy Linear Programming under Uncertainty," IJERPH, MDPI, vol. 18(18), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9549-:d:632862
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    References listed on IDEAS

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    2. Huang, G. H. & Baetz, B. W. & Patry, G. G., 1995. "Grey fuzzy integer programming: An application to regional waste management planning under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 17-38, March.
    3. Changgang Ma & Min Zhou, 2018. "A GIS-Based Interval Fuzzy Linear Programming for Optimal Land Resource Allocation at a City Scale," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 143-166, January.
    4. Baofeng Cai & Yang Zhang & Xianen Wang & Yu Li, 2018. "An Optimization Model for a Wetland Restoration Project under Uncertainty," IJERPH, MDPI, vol. 15(12), pages 1-12, December.
    5. Huang, Guo H. & Baetz, Brian W. & Patry, Gilles G., 1995. "Grey integer programming: An application to waste management planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 83(3), pages 594-620, June.
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    Cited by:

    1. Lin Liu & Wei Song & Yanjie Zhang & Ze Han & Han Li & Dazhi Yang & Zhanyun Wang & Qiang Huang, 2021. "Zoning of Ecological Restoration in the Qilian Mountain Area, China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.

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