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通过有效配置三个社区运往两个处理设备的固体废物量实例,模拟固体废弃物管理系统的实际状态和运行情况,建立一个可以充分反映系统复杂性、动态性及不确定性的区间模糊鲁棒优化模型。对目标函数引入权重系数把区间参数化为确定性参数,对约束条件先用水平截集把模糊参数化为区间参数,再用改进的区间可能度方法把含区间参数的约束转化成确定性等价类。最后用LINGO软件求解该模型,并分析了数值结果的合理性。
By effectively disposing the solid waste volume from three communities to the two treatment plants and simulating the actual status and operation status of the solid waste management system, a fuzzy robust system can be established which can fully reflect the complexity, dynamics and uncertainty of the system Optimize the model. Introducing the weight coefficient into the objective function, the interval is parameterized as the deterministic parameter. For the constraint condition, the fuzzy parameter is first transformed into the interval parameter by horizontal cut-off. Then, the improved interval probability method is used to convert the constraints with interval parameters into certainty Price category. Finally, the model is solved by LINGO software and the rationality of the numerical results is analyzed.