HA308 : Extracting rules of the effect of marketing mix on customers' buying behavior with fuzzy 2 tuple approaches
Thesis > Central Library of Shahrood University > Industrial Engineering & Management > MSc > 2020
Authors:
Ebrahim Forghani [Author], Reza Sheikh[Supervisor]
Abstarct: Elements of marketing mix are sets of controllable marketing variables that the organization combines to achieve marketing goals in the target market and meet customer needs. These elements are the most important factors that marketing managers pay attention to in order to achieve sales and profitability. The purpose of this study is to investigate the effect of marketing mix elements on customer buying behavior and baxsed on the results of data analysis with Rosetta software, five rules governing customer behavior as the most important factors affecting customer buying behavior have been identified and extracted. Then the decision tree obtained from the data was obtained by rapidminer software and their results were compared with the rules extracted from Rough set theory. In this research, a combination of binary fuzzy verbal technique and rough set theory has been used to analyze the data. This study is a case study and is applied in terms of purpose. The statistical population in this study included customers of chain stores in Tehran, which is estimated to be about 625 people.
Keywords:
#marketing mix #rough theory set #decision tree #2tuple fuzzy #customer behavior Keeping place: Central Library of Shahrood University
Visitor: