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An Extended VIKOR Method for Multiple Attribute Decision Analysis with Bidimensional Dual Hesitant Fuzzy Information

Author

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  • Min Xue
  • Xiaoan Tang
  • Nanping Feng

Abstract

Bidimensional dual hesitant fuzzy (BDHF) set is developed to present preferences of a decision maker or an expert, which is more objective than existing fuzzy sets such as Atanassov’s intuitionistic fuzzy set, hesitant fuzzy set, and dual hesitant fuzzy set. Then, after investigating some distance measures, we define a new generalized distance measure between two BDHF elements with parameter for the sake of overcoming some drawbacks in existing distance measures. Covering all possible values of parameter , a new approach is designed to calculate the generalized distance measure between two BDHF elements. In order to address complex multiple attribute decision analysis (MADA) problems, an extension of fuzzy VIKOR method in BDHF context is proposed in this paper. In VIKOR method for MADA problems, weight of each attribute indicates its relative importance. To obtain weights of attributes objectively, a new entropy measure with BDHF information is developed to create weight of each attribute. Finally, an evaluation problem of performance of people’s livelihood project in several regions is analyzed by the proposed VIKOR method to demonstrate its applicability and validity.

Suggested Citation

  • Min Xue & Xiaoan Tang & Nanping Feng, 2016. "An Extended VIKOR Method for Multiple Attribute Decision Analysis with Bidimensional Dual Hesitant Fuzzy Information," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-16, October.
    • Handle: RePEc:hin:jnlmpe:4274690
    DOI: 10.1155/2016/4274690
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