• DocumentCode
    2904470
  • Title

    A causal model of consumer involvement: A new approach with intuitionistic fuzzy automata

  • Author

    Chen, Ting Yu ; Yen, Li Hsuan ; Tsui, Che Wei

  • Author_Institution
    Dept. of Bus. Adm., Chang Gung Univ., Taoyuan
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    790
  • Lastpage
    796
  • Abstract
    Involvement has become an important variable in consumer behavior and marketing research for a long time. The purpose of this study is to develop a model that can explain the complicated relationship between antecedents, consequences, and different types of involvement at the same time to understand the internal state of consumers better. Specifically, this model has to be capable of handling the vague interactions between different types of involvement. We develop this integrated model by the using of the intuitionistic fuzzy automata. We choose the cell phone as the stimulus product in this research. There are 19 antecedents, 5 types of involvement, and 10 consequences in the integrated involvement model. According to the results, we find that the intuitionistic fuzzy automata can deal with the interactions between different types of involvement. Second, the intuitionistic fuzzy automata can observe the relations between antecedents, consequences, and 5 types of involvement at the same time. Besides, we can observe the internal state inside consumers through the intuitionistic fuzzy automata, especially the degree of hesitation when they make decisions.
  • Keywords
    automata theory; consumer behaviour; formal logic; fuzzy set theory; causal model; consumer behavior; consumer involvement; intuitionistic fuzzy automata; marketing research; Artificial intelligence; Automata; Cellular phones; Consumer behavior; Data analysis; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630461
  • Filename
    4630461