Abstract

The attribute weights calculated from completely unknown information using the Maximal Entropy OWA weights. The neutrosophic fuzzy ordered weighted averaging (NFOWA) operator is utilized to aggregate all individual neutrosophic fuzzy decision matrices provided by the decision-makers into the collective neutrosophic fuzzy decision matrix, and then we use the obtained attribute weights and the neutrosophic fuzzy hybrid averaging (NFHA) operator to fuse the neutrosophic fuzzy information in the collective neutrosophic fuzzy decision matrix to get the overall neutrosophic fuzzy values of alternatives, and then rank the alternatives, and select the most desirable alternative.

Keywords

References

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