A Fuzzy Rough Group Decision-making Model for Rating and Ranking IT Outsourcing Aggressive Risk

Author(s):  
Jinlong Zhang ◽  
Guodong Cong ◽  
Yugang Yu ◽  
Yeming Gong
2010 ◽  
pp. 2113-2129
Author(s):  
Guodong Cong ◽  
Jinlong Zhang ◽  
Tao Chen ◽  
Kin-Keung Lai

Risks evaluation is critical for the success of IT offshore outsourcing. Based on fuzzy group decision-making (FGDM) and variable precision fuzzy rough set (VPFRS), this article proposes a new integrated model, variable precision fuzzy rough group decision-making (VPFRGDM), to evaluate the risk in IT offshore outsourcing. This model can improve the capability to handle potential errors fairness and efficiency of risk evaluation, and is verified by a numerical case.


Author(s):  
Guodong Cong ◽  
Jinlong Zhang ◽  
Tao Chen ◽  
Kin-Keung Lai

Risks evaluation is critical for the success of IT offshore outsourcing. Based on fuzzy group decisionmaking (FGDM) and variable precision fuzzy rough set (VPFRS), this article proposes a new integrated model, variable precision fuzzy rough group decision-making (VPFRGDM), to evaluate the risk in IT offshore outsourcing. This model can improve the capability to handle potential errors fairness and efficiency of risk evaluation, and is verified by a numerical case.


2013 ◽  
Vol 405-408 ◽  
pp. 3451-3454
Author(s):  
Ming Xuan Zhang ◽  
Dong Lei Zhang

A new comprehensive evaluation based on triangular fuzzy number method is put forward in this paper, according to the principle of fuzzy comprehensive evaluation and using trichotomy to determine membership function. And a calculation example is illustrated by using the method presented. The method is a reference to the bid evaluation in the future.


Sign in / Sign up

Export Citation Format

Share Document