Acta mathematica scientia,Series A ›› 2019, Vol. 39 ›› Issue (5): 1213-1227.

Previous Articles     Next Articles

Deliberation Dialogue Framework Based on IBIS and Methods of Consensus Evaluation

Caiquan Xiong1,*(),Xuan Li2,Na Deng1,Dahai Xia1   

  1. 1 School of Computer Science, Hubei University of Technology, Wuhan 430068
    2 Beijing North-Star Digital Remote Sensing Technology CO Ltd, Wuhan 430074
  • Received:2018-04-28 Online:2019-10-26 Published:2019-11-08
  • Contact: Caiquan Xiong E-mail:x_cquan@163.com
  • Supported by:
    The National Key Research and Development Program of China(2017YFC1405403);the NSFC(61075059);the Green Industry Technology Leading Project (Product Development Category) of Hubei University of Technology(CPYF2017008)

Abstract:

Deliberation is an effective method to solve complex problems. In the process of deliberation, real-time analysis and evaluation of group consensus will help to activate group thinking and promote the convergence of group thinking. In this paper, a deliberation dialogue frameworks(DDF) based on IBIS is proposed, in which argumentation and uncertainty reasoning are introduced to calculate the certainty-factors of propositions. Firstly, the basic IBIS model is extended to multi-level argumentation structure with propositions about issues not only be put forward but also be argued. The process of argumentation about proposition is described as dialogue tree, and the all the deliberation is described as dialogue forest. Then, the uncertain of argument's premise and the argument's strength were quantified with certainty-factor, and the dialogue forest is mapped into fuzzy petri net, called FPND. Using the parallel computing ability of petri nets, the final certainty-factors of proposition are calculated by matrix iterative operation. Finally, an example is used to verify the validity and rationality of the proposed method.

Key words: Deliberation dialogue, Argumentation, Uncertainty reasoning, Fuzzy Petri net, Consensus evaluation

CLC Number: 

  • TB181
Trendmd