An improved MADM method using interval-valued intuitionistic fuzzy values

Abstract In this paper, we modify Chen and Han's multiattribute decision making (MADM) method (2018) to propose a novel MADM method based on the nonlinear programming (NLP) methodology, Xu's score function (SF) (2007) and Xu's accuracy function (AF) (2007) of interval-valued intuitionistic fuzzy values (IVIFVs), the membership uncertainty (MU) index (2009) and the hesitation uncertainty (HU) index (2009) of IVIFVs, and Wang et al.’s ranking method (2009) of IVIFVs. The proposed MADM method can conquer the shortcomings of Chen and Chiou's MADM method (2015), Chen and Han's MADM method (2018), Chen and Huang's MADM method (2017), Li's MADM method (2010) and Zhitao and Yingjun's MADM method (2011).

• Publication year

  2018

• Venue

  Information Sciences

• Publication date

  2018-10-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/J.INS.2018.07.062
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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