کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1028485 942304 2009 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Marketing Intelligent Systems for consumer behaviour modelling by a descriptive induction approach based on Genetic Fuzzy Systems
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری بازاریابی و مدیریت بازار
پیش نمایش صفحه اول مقاله
Marketing Intelligent Systems for consumer behaviour modelling by a descriptive induction approach based on Genetic Fuzzy Systems
چکیده انگلیسی

In its introduction this paper discusses why marketing professionals do not make satisfactory use of the marketing models posed by academics in their studies. The main body of this research is characterised by the proposal of a brand new and complete methodology for knowledge discovery in databases (KDD), to be applied in marketing causal modelling and with utilities to be used as a marketing management decision support tool. Such methodology is based on Genetic Fuzzy Systems, a specific hybridization of artificial intelligence methods, highly suited to the research problem we face. The use of KDD methodologies based on intelligent systems like this can be considered as an avant-garde evolution, exponent nowadays of the so-called knowledge-based Marketing Management Support Systems; we name them as Marketing Intelligent Systems. The most important questions to the KDD process–i.e. pre-processing; machine learning and post-processing–are discussed in depth and solved. After its theoretical presentation, we empirically experiment with it, using a consumer behaviour model of reference. In this part of the paper, we try to offer an overall perspective of how it works. The valuation of its performance and utility is very positive.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Industrial Marketing Management - Volume 38, Issue 7, October 2009, Pages 714–731
نویسندگان
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