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

View Sample PDF

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 / Engineering Science Reference / Global Information Technology / Government & Law

Purchase

View A Variable Precision Fuzzy Rough Group Decision-Making Model for IT Offshore Outsourcing Risk Evaluation on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

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

Purchase

Abstract

Related Content

IRMA Sponsors