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A Method Based on Intuitionistic Fuzzy Dependent Aggregation Operators for Supplier Selection

Author

Listed:
  • Fen Wang
  • Shouzhen Zeng
  • Chonghui Zhang

Abstract

Recently, resolving the decision making problem of evaluation and ranking the potential suppliers have become as a key strategic factor for business firms. In this paper, two new intuitionistic fuzzy aggregation operators are developed: dependent intuitionistic fuzzy ordered weighed averaging (DIFOWA) operator and dependent intuitionistic fuzzy hybrid weighed aggregation (DIFHWA) operator. Some of their main properties are studied. A method based on the DIFHWA operator for intuitionistic fuzzy multiple attribute decision making is presented. Finally, an illustrative example concerning supplier selection is given.

Suggested Citation

  • Fen Wang & Shouzhen Zeng & Chonghui Zhang, 2013. "A Method Based on Intuitionistic Fuzzy Dependent Aggregation Operators for Supplier Selection," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, November.
    • Handle: RePEc:hin:jnlmpe:481202
    DOI: 10.1155/2013/481202
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    Cited by:

    1. Barbara Gladysz & Jacek Mercik, 2020. "Intuitionistic fuzzy sets in assessing the marginal value of the elements of a multigraph," Operations Research and Decisions, Wroclaw University of Science Technology, Faculty of Management, vol. 30(4), pages 29-38.

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