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A low-carbon-orient product design schemes MCDM method hybridizing interval hesitant fuzzy set entropy theory and coupling network analysis
Soft Computing ( IF 3.1 ) Pub Date : 2019-08-23 , DOI: 10.1007/s00500-019-04296-6
Zili Wang , Shuyou Zhang , Lemiao Qiu , Ye Gu , Huifang Zhou

Abstract

The product low-carbon design is the key to decrease carbon emissions in manufacturing. The multiple criteria decision-making (MCDM) method has been widely used in solving the design schemes preference choosing problems. However, the existed MCDM method has two primary problems facing the product low-carbon design cases: (i) How to clarify the coupling relationship between low-carbon decision criteria? (ii) How to fuzzily express the low-carbon-orient product design schemes? To solve these problems, we proposed a novel MCDM method for product low-carbon design. It combines the coupling network analysis with the interval hesitant fuzzy set entropy theory into MCDM process. We used a case study of injection molding machine low-carbon design to verify the proposed MCDM method. It turns out that the proposed MCDM method can help us make more rational and equitable decisions among alternative low-carbon schemes.



中文翻译:

面向低碳产品设计方案的MCDM方法将区间犹豫模糊集熵理论与耦合网络分析相结合

摘要

产品低碳设计是减少制造中碳排放的关键。多准则决策(MCDM)方法已广泛用于解决设计方案的偏好选择问题。但是,现有的MCDM方法在产品低碳设计案例中面临两个主要问题:(i)如何阐明低碳决策标准之间的耦合关系?(ii)如何模糊地表达低碳产品设计方案?为了解决这些问题,我们提出了一种用于产品低碳设计的新型MCDM方法。它将耦合网络分析与区间犹豫模糊集熵理论结合到MCDM过程中。我们以注塑机低碳设计为例,对所提出的MCDM方法进行了验证。

更新日期:2020-03-20
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