Chapter

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Volume 3642 of the series Lecture Notes in Computer Science pp 530-538

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

  • Gang XieAffiliated withSchool of Management, Huazhong University of Science and Technology
  • , Jinlong ZhangAffiliated withSchool of Management, Huazhong University of Science and Technology
  • , K. K. LaiAffiliated withDepartment of Management Sciences, City University of Hong Kong, Hong Kong and College of Business Administration, Hunan University

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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.