Investment Selection Based on Bonferroni Mean under Generalized Probabilistic Hesitant Fuzzy Environments

Investment Selection Based on Bonferroni Mean under Generalized Probabilistic Hesitant Fuzzy Environments

In investment selection problems, the existence of contingency and uncertainty may result in the loss of attribute information. Then, how to make proper investment decision-making will be a tricky proposition. In this work, a multiattribute group decision making (MAGDM) method based on the generaliz...

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Bibliographic Details
Main Authors: Wenying Wu, Zhiwei Ni, Feifei Jin, Jian Wu, Ying Li, Ping Li
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Mathematics
Subjects:
probabilistic hesitant fuzzy set
Bonferroni mean operator
Archimedean t-norm and s-norm
generalized probabilistic hesitant fuzzy Bonferroni mean operator
investment selection
Online Access:https://www.mdpi.com/2227-7390/9/1/107

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