I'm a new guy here. Hopefully, I'm asking this question to right forum.
We have data of a group of people (P1, P2, P3). They rank their expertise (1-10, where higher number is better) in a list of components (G1, G2, G3).
P1 P2 P3 -------------- G1 | 8 4 7 G2 | 7 3 7 G3 | 9 6 5
Also, we have some data regarding work done by each person in each component. Example:
W WD ---------- G1 | 0 0 G2 | 2 0 G3 | 8 2
W is total work allotted to user P1, and
WD is actual work done. W >= WD >= 0.
We have similar data for P2, and P3 users.
Point to note: The user might have some level of expertise regardless of work done in a component. Example: P1 has ranked himself 8/10 even though he has not been given any task in G1 component (W = 0). P1 also has ranked himself 7/10 for G2 even though he has not finished any task in that component (WD = 0).
Now, we want to calculate effective rating of all users relative to the group of users, not self-ranking, considering their work data and self-ranking.
Can anyone suggest some mechanism to achieve this?
Thanks much in advance!