Possibilistic linear systems and their application to the linear regression model
Fuzzy Sets and Systems
A linear regression model using triangular fuzzy number coefficients
Fuzzy Sets and Systems
Electronic commerce: a managerial perspective
Electronic commerce: a managerial perspective
Evaluating chi-squared automatic interaction detection
Information Systems
Integration of heterogeneous models to predict consumer behavior
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A linear regression model for imprecise response
International Journal of Approximate Reasoning
Smart shopper: an agent-based web-mining approach to Internet shopping
IEEE Transactions on Fuzzy Systems
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Advances in internet technology over the past decades have revolutionarised the way consumers behave and extended marketing beyond its traditional boundaries. In parallel, challenges relating to consumer and businesses behaviour have increased manifold. This paper attempts to assess the fuzzy actions of buying behaviour from a multinational viewpoint using data that have been collected on customer risk assessment while attempting to buy a product on the internet. The survey covered 270 male and female participants of different nationality and different levels of income and education. Logistic regression is used to identify factors that are significant in the action of purchasing leading to a sensitivity of 0.92 and specificity of 0.81 and this is followed by the use of AnswerTree (CHAID) to formulate what-if decision strategies to help decision makers improve their selling and targeting options. The sensitivity and specificity of the latter approach were 0.95 and 0.79 respectively and led to the establishment of a set of decision rules each with their probability of success ranging from 0.56 to 1. None of the factors of gender, geographic location or income were significant in the process.