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A Multi-Attribute Decision-Making Algorithm Using Q-Rung Orthopair Power Bonferroni Mean Operator and Its Application

Author

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  • Ping He

    (Tourism and Historical Culture College, Zhaoqing University, Zhaoqing 526061, Guangdong, China)

  • Zaoli Yang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Bowen Hou

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

The process of decision-making is subject to various influence factors and environmental uncertainties, which makes decision become a very complex task. As a new type of decision processing tool, the q-rung orthopair fuzzy sets can effectively deal with complex uncertain information arising in the decision process. To this end, this study proposes a new multi-attribute decision-making algorithm based on the power Bonferroni mean operator in the context of q-rung orthopair fuzzy information. In this method, in view of multi-attribute decision-making problem of internal relationship between multiple variables and extreme evaluation value, the Bonferroni mean operator is combined with power average operator. Then, the integrated operator is introduced into the q-rung orthopair fuzzy set to develop a new q-rung orthopair power Bonferroni mean operator, and some relevant properties of this new operator are discussed. Secondly, a multi-attribute decision-making method is established based on this proposed operator. Finally, the feasibility and superiority of our method are testified via a numerical example of investment partner selection in the tourism market.

Suggested Citation

  • Ping He & Zaoli Yang & Bowen Hou, 2020. "A Multi-Attribute Decision-Making Algorithm Using Q-Rung Orthopair Power Bonferroni Mean Operator and Its Application," Mathematics, MDPI, vol. 8(8), pages 1-14, July.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:8:p:1240-:d:391509
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    References listed on IDEAS

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    1. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
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