New q-rung orthopair fuzzy partitioned Bonferroni mean operators and their application in multiple attribute decision making |
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Authors: | Wei Yang Yongfeng Pang |
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Affiliation: | Department of Mathematics, School of Science, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, China |
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Abstract: | The q-rung orthopair fuzzy sets are superior to intuitionistic fuzzy sets or Pythagorean fuzzy sets in expressing fuzzy and uncertain information. In this paper, some partitioned Bonferroni means (BMs) for q-rung orthopair fuzzy values have been developed. First, the q-rung orthopair fuzzy partitioned BM (q-ROFPBM) operator and the q-rung orthopair fuzzy partitioned geometric BM (q-ROFPGBM) operator are developed. Some desirable properties and some special cases of the new aggregation operators have been studied. The q-rung orthopair fuzzy weighted partitioned BM (q-ROFWPBM) operator and the q-rung orthopair fuzzy partitioned geometric weighted BM (q-ROFPGWBM) operator are also developed. Then, a new multiple-attribute decision-making method based on the q-ROFWPBM (q-ROFPGWBM) operator is proposed. Finally, a numerical example of investment company selection problem is given to illustrate feasibility and practical advantages of the new method. |
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Keywords: | aggregation operator Bonferroni mean multiple attribute decision making q-rung orthopair fuzzy sets |
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