Fuzzy Logic Based Modelling of Decision Buying Process

Understanding of buyer behaviour plays a significant role in marketing. Modelling of buyer behaviour provides an ability to segment the market effectively and develop marketing-mix usefully. Existing models of buyer decision-making are not well suited to uncertain, imprecise real-life situation and there is a need to develop a new conceptual and quantitative model.

[1]  Fahreddin Sadikoglu,et al.  Z-Regression Analysis in Psychological and Educational Researches , 2016 .

[2]  Ching-Fu Chen,et al.  Passengers' shopping motivations and commercial activities at airports - The moderating effects of time pressure and impulse buying tendency , 2013 .

[3]  Francisco J. Martínez-López,et al.  Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights , 2013 .

[4]  P. Bohl.  The impact of airport shopping environments and dwell time on consumer spending , 2014 .

[5]  Francisco J. Martínez-López,et al.  Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling , 2009, Expert Syst. Appl..

[6]  M. Sargolzaei,et al.  FHESMM: Fuzzy Hybrid Expert System for Marketing Mix Model , 2011 .

[7]  Andrzej Piegat,et al.  Computing with words with the use of inverse RDM models of membership functions , 2015, Int. J. Appl. Math. Comput. Sci..

[8]  Jerry M. Mendel,et al.  Computing With Words for Hierarchical Decision Making Applied to Evaluating a Weapon System , 2010, IEEE Transactions on Fuzzy Systems.

[9]  Lotfi A. Zadeh,et al.  The concept of a linguistic variable and its application to approximate reasoning-III , 1975, Inf. Sci..

[10]  Gunay Sadikoglu.  Modeling of Consumer Buying Behaviour Using Z-Number Concept , 2018 .

[11]  J. Rossiter,et al.  Store atmosphere: an environmental psychology approach , 1982 .

[12]  Karina Tomaszewska,et al.  The application of horizontal membership functions to fuzzy arithmetic operations , 2014 .

[13]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[14]  Julián Moreno.  Trading strategies modeling in Colombian power market using artificial intelligence techniques , 2009 .

[15]  Shuliang Li,et al.  The development of a hybrid intelligent system for developing marketing strategy , 2000, Decis. Support Syst..

[16]  Gunay Sadikoglu,et al.  Modeling of the travelers’ shopping motivation and their buying behavior using fuzzy logic , 2017 .

[17]  Aminda J. O'Hare,et al.  Relationships among cognition, emotion, and motivation: implications for intervention and neuroplasticity in psychopathology , 2013, Front. Hum. Neurosci..