城市生活垃圾管理系统优化规划的灰色模糊多目标规划方法

Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI:10.1109/ISUMA.1995.527733

N. Chang, S. Wang

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引用次数: 2

摘要

本文提出了灰色模糊多目标混合整数规划(GFMOMIP)模型，用于城市区域固体废物可持续管理策略的评价。特别是，它展示了如何通过特定的隶属函数量化不确定信息，并通过在多目标固体废物管理框架中使用灰数进行组合。结果表明，灰色模糊输出能较好地反映系统的复杂程度，并产生更灵活的管理策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A grey fuzzy multiobjective programming approach for the optimal planning of municipal solid waste management systems

The paper proposes a new approach-a grey fuzzy multiobjective mixed integer programming (GFMOMIP) model-for the evaluation of sustainable management strategies of solid waste management in a metropolitan region. In particular, it demonstrates how uncertain messages can be quantified by specific membership functions and combined through the use of grey numbers in a multiobjective solid waste management framework. It shows that the grey fuzzy outputs can successfully reflect system complexity and generate more flexible management strategies.

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Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society

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