Multiple attribute decision making (MADM) selects the optimal alternative(s) or sorts alternatives from best to worst based on evaluation information of multiple attributes and provides an effective solution for complex multi-dimensional decision-making problems in the field of economics, management, engineering and many others. Based on classical MADM approaches, extensive linguistic MADM models were proposed especially the distributed linguistic MADM methods, which have become an effective tool for the representation of attribute preferences.

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Distributed Linguistic Multiple Attribute Decision Making

  • Yuzhu Wu,
  • Yucheng Dong

摘要

Multiple attribute decision making (MADM) selects the optimal alternative(s) or sorts alternatives from best to worst based on evaluation information of multiple attributes and provides an effective solution for complex multi-dimensional decision-making problems in the field of economics, management, engineering and many others. Based on classical MADM approaches, extensive linguistic MADM models were proposed especially the distributed linguistic MADM methods, which have become an effective tool for the representation of attribute preferences.