Normalizing grouped data for multi-variate ranking

Efficiency Score2 =
VAR FlightCounts =
    ADDCOLUMNS(
        DISTINCT( Rutas[ruta] ),
        "@FlightCount", [FlightCount],
        "@US", [Total US],
        "@PV", [PV-Orto]
    ) 
--  normalize per route
VAR MinFlightCount = MINX( FlightCounts, [@FlightCount] )
VAR MaxFlightCount = MAXX( FlightCounts, [@FlightCount] )
VAR MinUS = MINX( FlightCounts, [@US] )
VAR MaxUS = MAXX( FlightCounts, [@US] )
var MinPV = MINX( FlightCounts, [@PV] )
var MaxPV = MAXX( FlightCounts, [@PV] )
VAR FlightCountsNormalized =
    ADDCOLUMNS(
        FlightCounts,
        "@FlightCountNormalized",
            var Delta = MaxFlightCount - MinFlightCount
            return
            DIVIDE(
                [@FlightCount] - MinFlightCount,
                Delta
            )
        "@USNormalized",
            var Delta = MaxUS - MinUS
            return
            DIVIDE(
                [@US] - MinUS,
                Delta
            ),
        "@PVNormalized",
            var Delta = MaxPV - MinPV
            return
            DIVIDE(
                [@PV] - MinPV,
                Delta
            )            
     )
var Result = 
    SUMX(
        FlightCountsNormalized,
        // I think this should be a weighted
        // average, not a sum but up to you.
        // If you don't average this, the
        // range will be from 0 to 3, instead of
        // from 0 to 1.
        [@FlightCountNormalized]
            + [@USNormalized]
            + [@PVNormalized]
    )
RETURN
    Result