Browsing by Author Yu, Vincent F.

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  • Authors: Do, Anh Duc; Luu, Huu Van; Yu, Vincent F.; Chou, Shuo-Yan; Ngo, Van Hien; Ngo, The Chi; Dinh, Van Toan; Luu, Quoc Dat (2021)

  • Supplier selection and segmentation are crucial tasks of companies in order to reduce costs and increase the competitiveness of their goods. To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group decision making (MCGDM) approach from the aspects of capabil- ity and willingness and with respect to environmental issues. The proposed approach defines the aggregated ratings of alternatives, the aggregated weights of criteria, and the weighted ratings by using generalized fuzzy numbers with the effect of time weight. Next, we determine the ranking order of alternatives via a popular centroi...

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  • Authors: Yu, Vincent F.; Luu, Huu Van; Luu, Quoc Dat; Ha, Thi Xuan Chi; Chou, Shuo-Yan; Truong, Thi Thuy Duong (2017)

  • Ranking fuzzy numbers is an important component in the decision-making process with the last few decades having seen a large number of ranking methods. Ezzati et al. (Expert Syst Appl 39:690–695, 2012) proposed a revised approach for ranking symmetric fuzzy numbers based on the magnitude concepts to overcome the shortcoming of Abbasbandy and Hajjari’s method. Despite its merits, some shortcomings associated with Ezzati et al.’s approach include: (1) it cannot consistently rank the fuzzy numbers and their images; (2) it cannot effectively rank symmetric fuzzy numbers; and (3) it cannot rank nonnormal fuzzy numbers. This paper thus proposes a revised method to rank generalized ...

Browsing by Author Yu, Vincent F.

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 2 of 2
  • item.jpg
  • Journal Article


  • Authors: Do, Anh Duc; Luu, Huu Van; Yu, Vincent F.; Chou, Shuo-Yan; Ngo, Van Hien; Ngo, The Chi; Dinh, Van Toan; Luu, Quoc Dat (2021)

  • Supplier selection and segmentation are crucial tasks of companies in order to reduce costs and increase the competitiveness of their goods. To handle uncertainty and dynamicity in the supplier segmentation problem, this research thus proposes a new dynamic generalized fuzzy multi-criteria group decision making (MCGDM) approach from the aspects of capabil- ity and willingness and with respect to environmental issues. The proposed approach defines the aggregated ratings of alternatives, the aggregated weights of criteria, and the weighted ratings by using generalized fuzzy numbers with the effect of time weight. Next, we determine the ranking order of alternatives via a popular centroi...

  • 3202.pdf.jpg
  • Article


  • Authors: Yu, Vincent F.; Luu, Huu Van; Luu, Quoc Dat; Ha, Thi Xuan Chi; Chou, Shuo-Yan; Truong, Thi Thuy Duong (2017)

  • Ranking fuzzy numbers is an important component in the decision-making process with the last few decades having seen a large number of ranking methods. Ezzati et al. (Expert Syst Appl 39:690–695, 2012) proposed a revised approach for ranking symmetric fuzzy numbers based on the magnitude concepts to overcome the shortcoming of Abbasbandy and Hajjari’s method. Despite its merits, some shortcomings associated with Ezzati et al.’s approach include: (1) it cannot consistently rank the fuzzy numbers and their images; (2) it cannot effectively rank symmetric fuzzy numbers; and (3) it cannot rank nonnormal fuzzy numbers. This paper thus proposes a revised method to rank generalized ...