Research on The Multiple Combination Weight Based on Rough Set and Clustering Analysis––The Knowledge Transfer Risk in IT Outsourcing Taken as An Example
Yuan Li, Feipeng Xu · Procedia Computer Science · 2013
Abstract The study on the weight of attributes has been a key procedure in the knowledge transfer risk analyzing of IT outsourcing. By investigating the traditional methods of attributes weight, some problem in the traditional ways were pointed out, the concept of the combination weight was proposed, and a way to estimate its weight based on rough set was given. According to the combination weight and the similarity coefficient matrix, the risk factors in the knowledge transfer were classified by clustering analysis to help make the correct decision for knowledge transfer in IT outsourcing.