主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2014, Vol. 22 ›› Issue (8): 123-129.

• Articles • Previous Articles     Next Articles

A Method of Equivalence Grouping for Comprehensive Interview

CHEN Yuan1, FAN Zhi-ping2, XIE Mei-ping1   

  1. 1. Department of Information Management and Engineering, Shanghai University of Finance & Economics, Shanghai 200433, China;
    2. School of Business Administration, Northeastern University, Shenyang 110004, China
  • Received:2012-11-11 Revised:2013-06-29 Online:2014-08-20 Published:2014-08-23

Abstract: Comprehensive interview is becoming a common form in most recruitment. How to make the structure of interview group fair and reasonable is very important. In this paper, the effects of grouping on interview results for comprehensive interview are firstly analyzed. Then, the idea of equivalence grouping is proposed that the structure of each group is as same as possible. After that, a double objective model is constructed. Further, a genetic algorithm is proposed to solve the model according to the characteristics of the grouping problem. The proposed genetic algorithm can also be used to solve a class of grouping problems. Finally, a numerical example is provided to illustrate the applications of the proposed method.

Key words: comprehensive interview, equivalence grouping, double objective model, genetic algorithm

CLC Number: