Abstract
In this paper the fuzzy modeling for marketing plan development is considered. Fuzzy clustering is the basic algorithm used in data mining. In marketing, customers can be grouped into fuzzy clusters based on their needs, brand choices, psycho-graphic profiles, or other marketing related partitions. The main practical significance lies in the ability to determine demand, which in turn allows budget planning and cost reduction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Aliev, R.A., Fazlollahi, B., Aliev, R.R.: Soft Computing and Its Applications in Business and Economics. Springer Berlin Heidelberg, Berlin, Heidelberg (2004)
Yaakob, A., Gegov, A.A.: A fuzzy rule approach with z-numbers for choosing alternatives using TOPSIS. In: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, pp. 1–8 (2015)
Khalif, K., Gegov A., Bakar, A.: Z-TOPSIS approach for evaluating effectiveness using fuzzy similarity. In: Proceedings of the IEEE International Conference on Fuzzy Systems, Naples, pp. 1–6 (2017)
Imanova, G.: Identification and Ranking of Key Factors for Pattern of Consumer Buying Decisions in Digital Marketing. In: Aliev, R.A., Yusupbekov, N.R., Kacprzyk, J., Pedrycz, W., Sadikoglu, F.M. (eds.) WCIS 2020. AISC, vol. 1323, pp. 237–245. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-68004-6_31
Imanova, G.E., Imanova, G.: Digital Marketing Technologies Selection Under Z-Environment. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds.) ICAFS 2020. AISC, vol. 1306, pp. 378–387. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64058-3_47
Imanova, G.E., Imanova, G.: Some Aspects of Fuzzy Decision Making in Digital Marketing Analysis. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds.) ICSCCW 2021. LNNS, vol. 362, pp. 465–473. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-92127-9_63
Sadikoglu, G., Adilova, N.E., Anene, P.I.: The Impact of Store Environment on Purchase Intention in Supermarkets. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M., Sadikoglu, F.M. (eds.) ICSCCW 2021. LNNS, vol. 362, pp. 237–245. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-92127-9_34
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Mustafayeva, S.R. (2023). Fuzzy Modeling for Marketing Plan Development. In: Aliev, R.A., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Babanli, M.B., Sadikoglu, F. (eds) 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. ICAFS 2022. Lecture Notes in Networks and Systems, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-031-25252-5_80
Download citation
DOI: https://doi.org/10.1007/978-3-031-25252-5_80
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25251-8
Online ISBN: 978-3-031-25252-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)