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

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Author(s): Guodong Cong (Huazhong University of Science and Technology, China), Jinlong Zhang (Huazhong University of Science and Technology, China), Tao Chen (Huazhong University of Science and Technology, China)and Kin-Keung Lai (City University of Hong Kong, China)
Copyright: 2010
Pages: 17
Source title: Technological Advancement in Developed and Developing Countries: Discoveries in Global Information Management
Source Author(s)/Editor(s): M. Gordon Hunter (University of Lethbridge, Canada)and Felix B. Tan (Auckland University of Technology, New Zealand)
DOI: 10.4018/978-1-60566-920-5.ch004

Keywords: Digital Divide & Developing Countries / Global Information Technology / Government & Law / Information Science Reference

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Abstract

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.

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

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