For　multi-attribute　decision-making　(MADM)　problems　with　temporal　characteristics　and　attribute　values　of　interval-valued　intuitionistic　normal　fuzzy　numbers,　dynamic　interval-valued　intuitionistic　normal　fuzzy　weighted　averaging　(DIINFWA)　operators　are　presented,　and　their　properties　are　proved.　Since　attribute　weights　and　time　weights　have　both　been　unknown　in　MADM　problems,　we　propose　a　dynamic　interval-valued　intuitionistic　normal　fuzzy　MADM　method.　In　this　method,　a　combination　weighting　method　of　gray　correlation　analysis　and　the　maximum　deviation　method　are　used　to　solve　for　attribute　weights,　comprehensively　considering　the　subjective　experience　of　decision-makers　and　objectives　of　decision　data;　time　weights　are　decomposed　into　time-constant　and　time-variable　weight　vectors.　We　determine　time　weights　using　the　time　function,　combining　information　entropy　and　a　logistic　function.　According　to　the　algorithm　of　interval-valued　intuitionistic　normal　fuzzy　numbers,　decision-making　information　in　different　time　sequences　are　aggregated　using　the　proposed　DIINFWA　operators.　We　construct　a　dynamic　interval-valued　intuitionistic　normal　fuzzy　comprehensive　decision　matrix　and　use　the　VIKOR　(Vlsekriterijumska　Optimizacija　I　Kompromisno　Resenje)　method　to　obtain　the　optimal　solution.　Finally,　the　feasibility　and　significance　of　the　presented　method　compared　to　existing　methods　are　verified　through　analysis　of　numerical　examples.