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• W1489473493 abstract "In order to evaluate scientifically low carbon manufacturing system (LCMS) competitiveness under incomplete information, this paper, using fuzzy mathematics theory and evidential reasoning approach, proposes an evaluation method. Firstly, through fuzzy evaluation the influence factors of LCMS competitiveness are characterized by a set of evaluation grades. Secondly, the analytical evidential theory algorithms are used to aggregate the evaluation grades of multiple influence factors, and the assessed values of LCMS competitiveness are obtained under each evaluation index and the system overall goal. According to the evaluation value, the key influence factors of LCMS competitiveness, which need to be improved and enhanced, are found. Lastly, a numerical example is provided." @default.
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• W1489473493 date "2015-01-01" @default.
• W1489473493 modified "2023-10-16" @default.
• W1489473493 title "Fuzzy Evidential Reasoning Approach for LCMS Competitiveness Evaluation under Incomplete Information" @default.
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• W1489473493 doi "https://doi.org/10.1155/2015/949232" @default.
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