College of Economics & Management, China Jiliang University, Hangzhou 310018, China.
Int J Environ Res Public Health. 2021 Sep 10;18(18):9549. doi: 10.3390/ijerph18189549.
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.
在规划湿地恢复项目时，种植区的分配和恢复措施的成本是决策者面临的两个主要问题。本研究首次引入了基于区间模糊线性规划（IFLP）方法的框架，用于规划湿地恢复项目。所提出的框架不仅可以有效地处理湿地恢复规划过程中存在的区间和模糊不确定性，还可以处理生态环境效益和经济成本之间的权衡。该框架应用于中国东北地区的一个真实湿地恢复规划问题，以验证其有效性并检验约束的可信度。所开发的框架得到的优化结果表明，使用湿地恢复决策框架后，以最优恢复成本可以获得更高的生态和社会效益。在不同可信度水平下，IFLP 获得的最优恢复措施分配方案可以帮助决策者生成一系列替代方案，也可以为当地管理者提供决策建议，生成满意的决策计划。此外，本研究还对 IFLP 模型和 ILP 模型进行了比较。比较结果表明，IFLP 模型在系统目标、确定性和可靠性之间提供了更多关于生态环境和经济权衡的信息。该框架为管理者提供了一种有效的规划湿地恢复项目的方法，而模型的转移可能有助于解决类似的问题。
