Journal of Jilin University (Information Science Edition) ›› 2020, Vol. 38 ›› Issue (6): 714-722.

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Comparative Study on Multi Aggregation Methods of Sequencing Tasks Based on Group Intelligence

  

  1. School of Business Administration, South China University of Technology, Guangzhou 510640, China
  • Received:2020-05-21 Online:2020-11-24 Published:2020-12-17

Abstract: In order to solve the problem that the effect of sorting task aggregation method is not clear, under the concept of group intelligence, a comparative study is performed on the aggregation method under the condition of the grouping effect of the sorting task problem, attempting to find the sorting aggregation method. A concept of evaluating group wisdom-group wisdom validity is proposed. Empirical research methods are used to rebuild the sorting task of the group experiment. Based on the sorting data of the experimental test, seven different sorting aggregation methods are used to aggregate all the individual sorting of the sorting task problem to obtain the corresponding group sorting. The deviation between the seven kinds of group ranking and the real ranking is measured and the performance of different aggregation methods according to the size of the group wisdom validity is judged. The experimental results show that, among the clustering methods of reconstruction and ranking tasks based on the validity of group intelligence, the mode of the majority method performs best, followed by the median method and the K-Y method.

Key words: group wisdom, ranking tasks, experimental research, aggregation method

CLC Number: 

  • TP311. 13