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Information fusion in industrial performance: a 2-additive Choquet-integral based approach

机译:工业绩效中的信息融合:基于2加法Choquet积分的方法

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This study deals with the fusion of performance expressions in a manufacturing context, i.e. the mechanism which allows the computation of a global performance knowing the elementary ones. The characteristics of this kind of fusion is that the elementary performances to be combined are, on the one hand, often information of heterogeneous nature (cost, quality, delay...). On the other hand, they are associated to diversified and numerous objectives which interacts in different ways (negative or positive synergy, veto...). In this sense, the fuzzy subset theory provides tools to deal with: the heterogeneity of the entities involved, the commensurability of the elementary performances expressed in the interval [0,1], and the different behaviors of the fusion operation (compromise effect, optimistic or pessimistic effect...). Among all the fuzzy fusion operators, we consider here, the 2-additive Choquet fuzzy integral for modeling the different mutual interactions between the performance criteria and fusing their associated evaluations.
机译:这项研究的目的是在制造环境中融合性能表达,即一种机制,该机制可以在知道基本性能的情况下计算整体性能。这种融合的特点是,一方面,要组合的基本性能通常是异构性质的信息(成本,质量,延迟...)。另一方面,它们与以不同方式(负面或正面协同作用,否决权...)相互作用的多种多样的目标相关。从这个意义上讲,模糊子集理论提供了处理以下问题的工具:所涉及实体的异质性,以区间[0,1]表示的基本性能的可比性以及融合操作的不同行为(妥协效果,乐观或悲观的效果...)。在所有模糊融合算子中,我们在这里考虑使用2加性Choquet模糊积分,用于对性能标准之间的不同相互影响进行建模并将其相关评估融合在一起。

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