A Group Decision-Making Model of Risk Evasion in Software Project Bidding Based on VPRS

  • Gang Xie
  • Jinlong Zhang
  • K. K. Lai
Conference paper

DOI: 10.1007/11548706_56

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3642)
Cite this paper as:
Xie G., Zhang J., Lai K.K. (2005) A Group Decision-Making Model of Risk Evasion in Software Project Bidding Based on VPRS. In: Ślęzak D., Yao J., Peters J.F., Ziarko W., Hu X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science, vol 3642. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gang Xie
    • 1
  • Jinlong Zhang
    • 1
  • K. K. Lai
    • 2
  1. 1.School of ManagementHuazhong University of Science and TechnologyWuhanChina
  2. 2.Department of Management SciencesCity University of Hong Kong, Hong Kong and College of Business Administration, Hunan UniversityChina

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