Good evening,
I am looking for a method or approaches in multi-criteria decision making (MCDM) that deal with incomplete decision matrices. This means that no values or intervals can be assigned to a single performance measure. How can these be calculated? If there are no existing methods, what ideas do you have?
Thank you and best regards.
Dear Kilian
The ideal initial decision matrix may have all its cells with values or not.
Assume that you have different projects: One for a highrise constructuion, another for sewerage, other for education and the last one for environment.There is a maximum amount of investment for all of them
Suppose that there are four criteria: Investment, cost, social issues and govrnment regulations.
It is evident that investment and cost apply to all four projects, therefore there must be a value at the intersection of a column and a criterion, and zeros in the others.
But , take alternartive highrise construction; There is no value at rhe intersection to social issues, therefre you put a zero there or leave it blank
Alternative education is linked with all criteria except government regulations, and so on
That is, a matrix like this is not incomplete, simply it reflects realitty
not
Probably, there are some MCDM methods that can solve a matrix like this, I don't know, but Linear Programming or SIMUS can do this easily
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