Ranking mechanism when factors have 0% weight

Dear all,

I repeatedly stumbled upon ranking systems similar to the one attached, which exist, although to me they do not make logical sense.

Scenario 1:
-Composite Node1 = 60%
—Subfactor1 = [color=red]0%[/color]
(no further factors in this node)
-Composite Node2 = 40%
—Subfactor2 =[color=red]0%[/color]
(no further factors in this node)

Scenario 2:
-Composite Node1 = 60%
—Subfactor1 = [color=red]100%[/color]
(no further factors in this node)
-Composite Node2 = 40%
—Subfactor2 =0%
(no further factors in this node)

Questions:

  1. How does ranking even function in the cases described above?
  2. is the Composite Node1 in Scenario 2 only considered to an extent of 60% with the remaining 40% being random, or is it ‘normalized’ and considered as 100%, with Node2 not being considered at all?

Thanks for sharing your thoughts about this.


Screenshot at Apr. 04 09-17-02.png

If all sub-nodes are zero weight then they are given an equally distributed weight. Thus if there is one sub-node with 0% then it is assumed to have 100% weight. If there are two sub-nodes with 0% wieght then each is assumed to have 50% weight, etc.
Steve

Dear Steve,

thank you. I still do not fully get it given the above examples.

Does that mean that in the above screenshot, EBIT/TEV is being weighted 60%, GM/TA 15% etc.?
Does that mean that in my scenario2 above, subfactor2 is being weighted 100% (and influencing the total outcome with 40%)?

  1. Yes
  2. Yes

Thank you both

As far as I do understand scenario 1 and scenario 2 should produce the exact same results as in both cases the two subfactors get the same weight.
I would prefer using 100% instead of 0% weight for the subfactors as that is easier to understand. For me at least :wink: