A Variable Precision Fuzzy Rough Group Decision-Making Model for IT Offshore Outsourcing Risk Evaluation

2010 ◽  
pp. 2113-2129
Author(s):  
Guodong Cong ◽  
Jinlong Zhang ◽  
Tao Chen ◽  
Kin-Keung Lai
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Risk Evaluation ◽  
Group Decision ◽  
Offshore Outsourcing ◽  
Variable Precision ◽  
Rough Group ◽  
Fairness And Efficiency ◽  
Decision Making Model ◽  
Fuzzy Group Decision Making

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.

A Variable Precision Fuzzy Rough Group Decision-Making Model for IT Offshore Outsourcing Risk Evaluation

2011 ◽  
pp. 74-90
Author(s):  
Guodong Cong ◽  
Jinlong Zhang ◽  
Tao Chen ◽  
Kin-Keung Lai
Keyword(s):  
Decision Making ◽  
Rough Set ◽  
Group Decision Making ◽  
Risk Evaluation ◽  
Group Decision ◽  
Offshore Outsourcing ◽  
Variable Precision ◽  
Rough Group ◽  
Fairness And Efficiency ◽  
Decision Making Model

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.

FUZZY GROUP DECISION MAKING MODEL BASED ON CREDIBILITY THEORY AND GRAY RELATIVE DEGREE

2009 ◽  
Vol 08 (03) ◽  
pp. 515-527 ◽  
Author(s):  
CONGJUN RAO ◽  
JIN PENG
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Relative Degree ◽  
Credibility Theory ◽  
New Model ◽  
Trapezoidal Fuzzy Numbers ◽  
Decision Making Model ◽  
Fuzzy Group Decision Making

In this paper, the problems of fuzzy multi-attribute group decision making in which the attribute values are given in the form of linguistic fuzzy numbers are studied. First of all, a new method called fuzzy dominance is given for ranking trapezoidal fuzzy numbers based on the credibility theory. Then the TOWA operator is presented to aggregate the trapezoidal fuzzy numbers. Furthermore, a new model is presented for the problems of fuzzy multi-attribute group decision making via TOWA operator, fuzzy dominance method and gray relative degree. Finally, a decision-making example is given to demonstrate the feasibility and rationality of this new model.

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