• DocumentCode
    3492291
  • Title

    Evaluation of human meal Kansei using AHP

  • Author

    Kanda, Taki

  • Author_Institution
    Bunri Univ. of Hospitality, Saitama, Japan
  • fYear
    2005
  • fDate
    19-22 March 2005
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    This paper is concerned with human meal preference. For evaluating human meal Kansei a method has been proposed to give the scales for human meal feelings as subjective characteristics of food in which the units of the scales are the standard deviations of the standard normal distribution. Here in addition to the method to evaluate human meal feelings a method is discussed to evaluate individuals´ meal intentions by paired comparisons, which is modified AHP (analytic hierarchy process) in judging the consistency of subjects´ answers and giving the scales for the answers. Combining the methods to evaluate human meal feelings and individuals´ meal intentions a method is studied to evaluate individuals´ meal preference. In the method the scales are given so that the units can be considered the standard deviations of the standard normal distribution as well as the scales for human meal feelings. In this paper the methods to evaluate individuals´ meal intentions and also individuals´ meal preference are described and numerical results of the experiment on Kansei evaluation conducted for this study using 200 menus on home dining tables are shown. A method is also discussed to simplify the judgment on the consistency of a subject´s answers in AHP.
  • Keywords
    decision making; normal distribution; psychology; Kansei evaluation; analytic hierarchy process; human meal Kansei; human meal preference; standard normal distribution; Computer aided manufacturing; Computer integrated manufacturing; Food manufacturing; Fuzzy neural networks; Gaussian distribution; Helium; Humans; Manufacturing industries; Modems; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
  • Print_ISBN
    0-7803-8812-7
  • Type

    conf

  • DOI
    10.1109/ICNSC.2005.1461229
  • Filename
    1461229