Computer Science ›› 2019, Vol. 46 ›› Issue (1): 131-137.doi: 10.11896/j.issn.1002-137X.2019.01.020

• CCDM2018 • Previous Articles     Next Articles

Approach for Knowledge Reasoning Based on Hesitate Fuzzy Credibility

ZHENG Hong-liang, HOU Xue-hui, SONG Xiao-ying, PANG Kuo, ZOU Li   

  1. (School of Computer and Information Technology,Liaoning Normal University,Dalian,Liaoning 116081,China)
  • Received:2018-05-04 Online:2019-01-15 Published:2019-02-25

Abstract: In order to solve the problem of inaccurate estimation of credibility in uncertainty reasoning,hesitant fuzzy set was introduced into the reasoning of uncertainty in this paper.The concept of hesitant fuzzy credibility was given in this article.On the basis of the knowledge representation based on credibility,the method of knowledge representation of hesitant fuzzy credibility is defined.In order to solve the problem of missing information in the process of reasoning by experts,an information complement method for solving the average value was proposed.A single rule and multiple rules of parallel relationship of the hesitant fuzzy credibility were constructed,and the specific steps of knowledge representation and uncertainty reasoning based on the hesitant fuzzy credibility was given.Finally,an example was given to illustrate the effectiveness and feasibility of the proposed method.

Key words: Knowledge representation, Uncertainty reasoning, Credibility, Hesitant fuzzy set, Hesitant fuzzy credibility element

CLC Number: 

  • TP181
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