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An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders

机译:用于分析包含多个目标和涉众的网络的扩展目标编程方法论

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This paper proposes a goal programming methodology to ensure that a mix of balance and optimisation is achieved across a hierarchical decision network. The extended goal programming principle is used for this purpose. A model is constructed that provides consideration of balance and efficiency of multiple objectives and stakeholders at each network node level. A goal programming formulation to provide the decision that best meets the goals of the network is given. The proposed model is controlled by three key parameters that represent the level of non-compensation between objectives, level of non-compensation between stakeholders, and level of centralisation in the network. The methodology is demonstrated on an example pertaining to regional renewable energy generation and the results are discussed. Conclusions are drawn as to the effect of different attitudes towards compensatory behaviour between objectives and stakeholders in the network. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文提出了一种目标编程方法,以确保在分层决策网络中实现平衡和优化的混合。扩展目标编程原则用于此目的。构建了一个模型,该模型考虑了每个网络节点级别上多个目标和涉众的平衡和效率。给出了一个目标编程公式,以提供最能满足网络目标的决策。所提出的模型由三个关键参数控制,这些参数分别表示目标之间的不补偿级别,利益相关方之间的不补偿级别以及网络中的集中化级别。在有关区域可再生能源发电的示例中论证了该方法,并讨论了结果。对于网络中目标和利益相关者之间对补偿行为的不同态度的影响得出结论。 (C)2016 Elsevier B.V.保留所有权利。

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