A group decision-making model of risk evasion in software project bidding based on VPRS

Authors:
Gang Xie;Jinlong Zhang;K. K. Lai
Affiliations:
School of Management, Huazhong University of Science and Technology, Wuhan, China;School of Management, Huazhong University of Science and Technology, Wuhan, China;Department of Management Sciences, City University of Hong Kong, Hong Kong and College of Business Administration, Hunan University, China
Venue:
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Year:
2005

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Abstract

This study develops a group decision-making model based on Variable Precision Rough Set, which can be used to adjust classification error in decision tables consisting of risk-evading level (REL) of software project bidding. In order to reflect experts' ability, impartiality and carefulness roundly during the course of group decision-making, a weight is endowed with each expert. Integrated risk-evading level (IREL) of projects and risk indices are computed. Then, risk-evading measures, the rank of risk-evading strength and risk-evading methodology are discussed.