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Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure

Author

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  • Jun Liu
  • Mengtian Wang
  • Pan Xu
  • Shouzhen Zeng
  • Meiling Liu

Abstract

This study aims to integrate the intuitionistic linguistic multi-attribute decision making (MADM) method which builds upon an integrated distance measure into supplier evaluation and selection problems. More specifically, an intuitionistic linguistic integrated distance measure based on ordered weighted averaging operator (OWA) and weighted average approach is presented and applied. The desirable characteristics and families of the developed distance operator are further explored. In addition, based on the proposed distance measure, a supplier selection problem for an automobile factory is used to test the practicality of its framework. The effectiveness and applicability of the presented framework for supplier selection are examined by carrying comparative analysis against the existing techniques of aggregation.

Suggested Citation

  • Jun Liu & Mengtian Wang & Pan Xu & Shouzhen Zeng & Meiling Liu, 2019. "Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 3667-3683, January.
    • Handle: RePEc:taf:reroxx:v:32:y:2019:i:1:p:3667-3683
    DOI: 10.1080/1331677X.2019.1646146
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