In　this　paper,　we　investigate　the　hesitant　fuzzy　multi-attribute　decision-making　method　based　on　entropy　and　prioritization　relationship.　Considering　the　double　impact　of　priority　levels　of　attributes　and　the　dispersion　degree　of　hesitant　fuzzy　elements,　we　propose　a　prioritized　level　weighted　method　based　on　entropy.　The　weighted　method　can　guarantee　a　constant　priority　level　of　the　attributes　and　distinguish　the　unity　degree　of　expert　opinions　effectively.　Then,　we　put　forward　the　hesitant　fuzzy　prioritized　level　average　(HFPLA)　and　hesitant　fuzzy　prioritized　level　geometric　(HFPLG)　operators　based　on　the　prioritized　level　weighted　method.　Furthermore,　we　discuss　some　desirable　properties　of　the　proposed　operators.　Finally,　the　practicability　and　effectiveness　of　the　proposed　methods　are　verified　by　numerical　examples.