• DocumentCode
    2848820
  • Title

    Research on the Application of Priority Degree Evaluation Method in the Fuzzy Neural Network

  • Author

    Han, Kun ; Tang, Luxin ; Bin Bin ; Yang, Zhongbo

  • Author_Institution
    Fac. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the principle of extension evaluation is introduced detailedly, the extension evaluation index system of flexible materials processing is established with the extenics theory and stratification analysis method. Based on the fuzzy comprehensive evaluation and extenics superiority evaluation, method of analyzing and computing is proposed to deal with the problems of the fuzzy neural network. And then real number quantificational appraisal is realized by utilizing associated function and normative regular degree. Finally, one example based on the fuzzy neural network is applied to introduce the analysis process of superiority evaluation method and to prove the accuracy of appraisal´s veracity. This method is reasonable and feasible, and has good application prospects.
  • Keywords
    fuzzy neural nets; appraisal veracity; associated function; extenics superiority evaluation; extenics theory; extension evaluation index system; flexible materials processing; fuzzy comprehensive evaluation; fuzzy neural network; matter-element model; normative regular degree; priority degree evaluation; real number quantificational appraisal; stratification analysis; Appraisal; Automatic control; Computer networks; Control system synthesis; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Information analysis; Materials processing; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365248
  • Filename
    5365248