The final step of the DSS model evaluation process Employee transfer evaluation can yield equal evaluation marks for several employees at the same time although they are not completely equal (identical). For example, let's assume that we have two completely identically evaluated employees, possible candidates for one workplace but one of them is 10 kilometres closer to the workplace than the other employee and both of them are in the same distance evaluation range (e.g. between 0 and 25km away from workplace ). Which one is the better candidate? Of course, a better candidate would be a closer employee. But what if one of them has better language knowledge than the other one? And both of them are evaluated as excellent for language knowledge. There are always some smaller differences that may help in the determination of better employee.
If there is a need to sort and present these employees in the ordered list where the top of the list holds the best employee, candidate for the particular workplace and the last position on the list belongs to the worst employee candidate. The quantified ordered list couldn't be possible without additional mathematical intervention in the final evaluation results. Evaluation results should be quantified with their numerical representations and upgraded with additional values that are derived from available attributes and previously evaluated results. For that purpose, we introduce three new variables named Excellence, Appropriacy and Equality.