• DocumentCode
    2000977
  • Title

    Unstructured Decision-Making Model Base on Grey Fuzzy Number

  • Author

    Zhang, Xin Bo ; Lu, Ying

  • Author_Institution
    Coll. of Inf. & Electron. Eng., Zhejiang Gongshang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    Experts use natural language in the unstructured decision-making problems, when they are establishing weights by pairwise comparison. In this paper, attribute hierarchical model (AHM) is utilized to establish weights. And grey fuzzy number is introduced, which can fully express experts¿ will and make experts¿ scoring more scientific. Then a new grey fuzzy unstructured decision-making model is proposed. Finally, the example shows that this model is simple and efficient.
  • Keywords
    decision making; fuzzy set theory; grey systems; natural languages; attribute hierarchical model; grey fuzzy number; natural language; unstructured decision-making model; Computational intelligence; Decision making; Educational institutions; Fuzzy sets; Information security; Natural languages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.107
  • Filename
    4724742
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2000977