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 ›› 2021, Vol. 29 ›› Issue (3): 199-209.doi: 10.16381/j.cnki.issn1003-207x.2019.0071

• Articles • Previous Articles     Next Articles

Multiple Attribute Group Decision-Making Method Based on Consensus Model and ORESTE Method for Extended Probabilistic Linguistic Term Set

LIU Pei-de, TENG Fei   

  1. School of Management Science and Engineering, Shandong University of Finance and Economic, Jinan 250014, China
  • Received:2019-01-11 Revised:2019-07-10 Published:2021-04-02

Abstract: As a more general linguistic information representation model, extended probabilistic linguistic term set can describe original evaluation more fully and improve scientificity of decision-making. With respect to group decision-making problems under extended probabilistic linguistic environment, the group decision-making method is propased based on consensus model and ORESTE method. Firstly, the concept and relative theories of extended probabilistic linguistic term set are given. Secondly, the consensus model under extend probabilistic linguistic environment is proposed to handle with different opinions from different groups. Thirdly, the extended probabilistic linguistic ORESTE method is developed to deal with decision-making problems where there is no single order between multiple alternatives. Based on this, a novel multiple attribute group decision-making method is proposed based on consensus model and ORESTE method. Lastly, a case study about shares bicycle design scheme is used to verify the validity and rationality of the proposed method. After that, the comparisons with other existing methods are further carried out to show its rationality and advantages.

Key words: extended probabilistic linguistic term set, consensus model, ORESTE method, multiple attribute group decision-making

CLC Number: