Rough-set-based association rules applied to brand trust evaluation model

Authors:
Shu-Hsien Liao;Yin-Ju Chen;Pei-Hui Chu
Affiliations:
Department of Management Sciences and Decision Making, Tamkang University, Taipei, Taiwan, ROC;Department of Management Sciences, Tamkang University, Taipei, Taiwan, ROC;Department of Management Sciences, Tamkang University, Taipei, Taiwan, ROC
Venue:
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Year:
2010

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Abstract

Of the consumers who often patronize retail stores, 87 of 100 respondents visited a convenience store in the past three months. The superstore/ hypermarket and the supermarket came in second and third, respectively. This demonstrates that retail channels are essential to the day-to-day life of the common populace. With the social and economic evolution, not only have product sales and shopping habits changed, but the current marketing concepts have also changed from being product-oriented to being consumer-oriented. In this research, we first provide new algorithms modified from the Apriori algorithm. The new approach can be applied in finding association rules, which can handle an uncertainty, combined with the rough set theory, and then to find the influence degree of the consumer preferences variables for the marketing decision-makers used.