DocumentCode
2904498
Title
Validating the integrated paradigm for advertising involvement with the intuitionistic fuzzy set theory
Author
Chen, Ting-Yu ; Wang, Hsiao-Pin ; Tsui, Che-Wei
Author_Institution
Dept. of Bus. Adm., Chang Gung Univ., Taoyuan
fYear
2008
fDate
1-6 June 2008
Firstpage
797
Lastpage
804
Abstract
As far as marketing researchers are concerned, advertising involvement is an important segmentation variable; the advertisers view advertising involvement as a vital factor resulting in advertising effects. Advertising involvement has been discussed in several decades while little literature proposed a complete integrated model. Hence, we collect the antecedents and consequences for advertising involvement. Because the model that we attempt to develop includes too many variables, it is difficult to judge the functional relations among these variables and not appropriate to use a traditional statistical method. We take advantage of the automata to develop an integrated model of advertising involvement. In the social science, a great number of questions are abstract and hard to possess a certain answer. The intuitionistic fuzzy sets, which are generated from the fuzzy sets, more completely express the degree of uncertainty for people. We use the automata in the intuitionistic fuzzy sets, which are named intuitionistic fuzzy automata, to develop an integrated model of advertising involvement. The model is successfully generated. In the future, as long as obtaining consumerspsila degree of antecedents, we can predict their degree of advertising involvement and consequences in terms of this model.
Keywords
advertising; automata theory; fuzzy set theory; advertising involvement; automata; functional relations; intuitionistic fuzzy set theory; social science; Advertising; Artificial intelligence; Automata; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Predictive models; Statistical analysis; Uncertainty;
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.2008.4630462
Filename
4630462
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