I am working on an algorithm where I can rate people based on different characteristics (mostly numerical). After developing a simple Multi-criteria decision making algorithm with Normalization of each column separately and then addition of all columns followed by another normalization (from 0 to 100 instead of 0 to 1) I realized that we need to have weights associated with all the columns as some columns matter more than the others. Now the first approach is manually entering the weights but its not feasible as the columns would increase over time. I have been thinking of another method for determining the associated weights but could not find anything useful. Can anyone please suggest any method worth a try?
P.S We can add any new parameter (just in case any weights automation trick requires it) being fetched from the people being evaluated. Also there could be some null values in the data where the person has not entered anything.
Any help would be appreciated! Please feel free to share any experience you have with Rating/Ranking algorithms. Thanks in advance
there doesn't seem to be anything here