A low-carbon-orient product design schemes MCDM method hybridizing interval hesitant fuzzy set entropy theory and coupling network analysis

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.