I'm trying to figure out how to rank options (or find the best fit) when a
level of importance is given on each set of data.

Can you provide a sample of your data, along with your expected results?

In article <306E27C8-45EC-4CEC-BDC7-(E-Mail Removed)>,
cl_bud <(E-Mail Removed)> wrote:

> I'm trying to figure out how to rank options (or find the best fit) when a
> level of importance is given on each set of data.

For example if I have 50 different cars with criteria for Safety, gas
mileage, speed, size, etc. Each customer would categorize each of these
criteria different in importance to them. I want to see how the rank for
each car would change given their level of importance in each category. Does
this make sense?

"Domenic" wrote:

> Can you provide a sample of your data, along with your expected results?
>
> In article <306E27C8-45EC-4CEC-BDC7-(E-Mail Removed)>,
> cl_bud <(E-Mail Removed)> wrote:
>
> > I'm trying to figure out how to rank options (or find the best fit) when a
> > level of importance is given on each set of data.
>

cl_bud -

This paper may help:

http://www.usfca.edu/fac-staff/middl...0304132235.pdf

- Mike
http://www.mikemiddleton.com

"cl_bud" <(E-Mail Removed)> wrote in message
news:306E27C8-45EC-4CEC-BDC7-(E-Mail Removed)...
> I'm trying to figure out how to rank options (or find the best fit) when
> a
> level of importance is given on each set of data.
>