• DocumentCode
    1630501
  • Title

    Research on Intelligent Systems Applied to Tourism Development Design

  • Author

    Min, Wei

  • Author_Institution
    Sch. of Manage., Xiammen Univ., Xiammen
  • Volume
    1
  • fYear
    2008
  • Firstpage
    127
  • Lastpage
    132
  • Abstract
    In the information techniques century over the past decade, it is seen that the tourism is linked to intelligent systems is becoming more and more popular. This paper proposes a novel intelligent system for improving product of tourism enterprises for tourism development design. After the analyses, as well as, some tests carried out, which have shown that the proposed intelligent system is efficient for the management of tourism development design. Furthermore, genetic algorithms, morden neural networks and fuzzy methods have been combined with expert knowledge in the intelligent system. In addition, the corresponding specialized intelligent system knowledge can be extracted from trained neural nets for mapping from tourism development design to sensory-quality indexes, classification of tourism products, analysis of the correlation between tangible products and intangible products, by which management and tourism development design can be set up.
  • Keywords
    expert systems; genetic algorithms; knowledge acquisition; neural nets; travel industry; expert knowledge; fuzzy methods; genetic algorithms; intelligent systems; knowledge extraction; neural networks; tourism development design; tourism enterprises; Algorithm design and analysis; Costs; Fuzzy sets; Input variables; Intelligent networks; Intelligent sensors; Intelligent systems; Neural networks; Product design; Testing; Knowledge extraction; Tourism development design; intelligent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.81
  • Filename
    4696191