Affiliations: Management School, Tianjin University of Commerce, Tianjin, China
Correspondence:
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Corresponding author. Ye Li, Management School, Tianjin University of Commerce, Tianjin, 300134, China. E-mail: [email protected].
Abstract: In this paper, we investigate the multiple attribute decision making (MADM) problems with triangular fuzzy information. Motivated by the ideal of dual generalized Bonferroni mean and dual generalized geometric Bonferroni mean, we develop two aggregation techniques called the dual generalized triangular fuzzy Bonferroni mean (DGTFBM) operator and the dual generalized triangular fuzzy geometric Bonferroni mean (DGTFGBM) operator for aggregating the triangular fuzzy information. We study its properties and discuss its special cases. For the situations where the input arguments have different importance, we then define the dual generalized triangular fuzzy weighted Bonferroni mean (DGTFWBM) operator and the dual generalized triangular fuzzy weighted geometric Bonferroni mean (DGTFWGBM) operator, based on which we develop two procedure for multiple attribute decision making under the triangular fuzzy environments. Finally, a practical example for hotel supply chain risk assessment is given to verify the developed approach and to demonstrate its practicality and effectiveness.
