Article ID Journal Published Year Pages File Type
486482 Procedia Computer Science 2013 8 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)