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Granule Sets Based Bilevel Decision Model

机译:基于颗粒集的双层决策模型

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摘要

Bilevel decision addresses the problem in which two levels of decision makers act and react in an uncooperative, sequential manner, and each tries to optimize their individual objectives under constraints. Such a bilevel optimization structure appears naturally in many aspects of planning, management and policy making. There are two kinds of bilevel decision models already presented, which are traditional bilevel decision models and rule sets based bilevel decision models. Based on the two kinds of models, granule sets based bilevel decision models are developed in this paper. The models can be viewed as extensions of the former two models, and they can describe more bilevel decision making problems and possess some new advantages. We also discuss the comparison of the three models and present some new topics in this research field.
机译:双层决策解决了以下问题:决策者的两个层次以不合作的顺序方式采取行动和作出反应,并且每个层次都试图在约束条件下优化各自的目标。这种双层优化结构自然会出现在计划,管理和政策制定的许多方面。已经提出了两种双层决策模型,它们是传统的双层决策模型和基于规则的双层决策模型。基于这两种模型,本文开发了基于颗粒集的双层决策模型。这些模型可以看作是前两个模型的扩展,它们可以描述更多的双层决策问题并具有一些新的优势。我们还将讨论这三种模型的比较,并提出该研究领域中的一些新主题。

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