Volume 19 , Issue 1 , PP: 272-279, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
A. Romero Fernández 1 * , G. Alvarez Gómez 2 , C. Gómez Armijos 3
Doi: https://doi.org/10.54216/IJNS.190123
Markets may be broken down into subsets with the use of cluster analysis. Multivariate analytic methods are often used in traditional research. Due to their success in engineering, artificial neural systems have recently found use in business as well. When it comes to grouping observations with comparable traits or attributes, the K-means method is a common choice. It has various uses in marketing, but it finds particular success in cluster analyses of customer behavior. Several commercial packages include implementations of the K-means algorithm. Data mining statistical approaches like K-Means are useful for handling this data and analyzing it later on. For better results, this study combines the traditional K-Means technique with Neutrosophy, which accounts for the uncertainty inherent in such complicated data sets by factoring in the data's diversity and its inherent volatility as a result of proximity between the bounds of the separate segments as well as the members who make up each.
Neutrosophic , K-Means , Clustering , Market Segmentation , ,
[1] W. R. Smith, “Product differentiation and market segmentation as alternative marketing strategies,” Journal of Marketing, vol. 21, no. 1, pp. 3–8, 1956.
[2] P. Arabie, “Cluster analysis in marketing research,” Advanced methods of marketing research, pp. 160–189, 1994.
[3] M. Wedel and W. A. Kamakura, Market segmentation: Conceptual and methodological foundations. Springer Science & Business Media, 2000.
[4] P. Kotler and G. Armstrong, Marketing management, analysis, planning, implementation, and control, Philip Kotler. London: Prentice-Hall International, 1994.
[5] R. Grover and V. Srinivasan, “A simultaneous approach to market segmentation and market structuring,” Journal of Marketing Research, vol. 24, no. 2, pp. 139–153, 1987.
[6] Y. J. Wind and D. R. Bell, “Market segmentation,” in The marketing book, Routledge, 2008, pp. 260–282.
[7] L. Quinn, “Market segmentation in managerial practice: a qualitative examination,” Journal of Marketing Management, vol. 25, no. 3–4, pp. 253–272, 2009.
[8] L. Quinn and S. Dibb, “Evaluating market-segmentation research priorities: Targeting re-emancipation,” Journal of Marketing Management, vol. 26, no. 13–14, pp. 1239–1255, 2010.
[9] Y. J. Wind, “Advances in Marketing Research and Practice,” Marketing Research and Modeling: Progress and Prospects: A Tribute to Paul E. Green, vol. 14, p. 301, 2013.
[10] Sireesha Rodda , Vaibhav Kovela , Sanjay Dokula, Instance Segmentation and Labeling of Teeth from Dental X-Ray using Region Based Convolutional Neural Network, Journal of Neutrosophic and Fuzzy Systems, Vol. 2 , No. 2 , (2022) : 20-30
[11] J. G. Barnes and R. McTavish, “Segmenting industrial markets by buyer sophistication,” European Journal of Marketing, 1983.
[12] D. C. Marschner, “Basic marketing: a managerial approach,” Journal of Marketing (pre-1986), vol. 36, no. 000001, p. 106, 1972.
[13] E. J. McCarthy and W. D. Perreault, Basic marketing: a managerial approach. Irwin, 1972.
[14] E. J. McCarthy, S. J. Shapiro, and W. D. Perreault, Basic marketing. Irwin-Dorsey Toronto, ON, Canada, 1979.
[15] R. D. Hisrich and V. Ramadani, Entrepreneurial marketing: a practical managerial approach. Edward Elgar Publishing, 2018.
[16] D. Krimpmann, “Development of a Managerial Approach for a New IT Organisation Design Framework (ITODF) Based on Digitisation Trends.,” 2018.
[17] A. Androniceanu, O. M. Sabie, and A. Pegulescu, “An integrated approach of the human resources motivation and the quality of health services,” Theoretical and Empirical Researches in Urban Management, vol. 15, no. 1, pp. 42–53, 2020.
[18] A. Alrida Basheer , Katy D. Ahmad , Rozina Ali, On Some Open Problems About n-Cyclic Refined Neutrosophic Rings And Number Theory, Journal of Neutrosophic and Fuzzy Systems, Vol. 3 , No. 2 , (2022) : 37-42
[19] M. N. Qureshi and M. V. Ahamad, “An improved method for image segmentation using K-means clustering with neutrosophic logic,” Procedia computer science, vol. 132, pp. 534–540, 2018.
[20] B. B. Yousif, M. M. Ata, N. Fawzy, and M. Obaya, “Toward an optimized neutrosophic K-means with genetic algorithm for automatic vehicle license plate recognition (ONKM-AVLPR),” IEEE Access, vol. 8, pp. 49285–49312, 2020.
[21] N. V. Q. Arnaiz, N. G. Arias, and L. C. C. Muñoz, Neutrosophic K-means Based Method for Handling Unlabeled Data, vol. 37. Infinite Study, 2020.
[22] E. B. N. Arias, B. M. G. Nuñez, L. N. Fernández, and J. M. R. Pupo, “CRISP-DM y K-means neutrosofía en el análisis de factores de riesgo de pérdida de audición en niños.,” Revista Asociación Latinoamericana de Ciencias Neutrosóficas. ISSN 2574-1101, vol. 16, pp. 73–81, 2021.
[23] A. Sengur and Y. Guo, “Color texture image segmentation based on neutrosophic set and wavelet transformation,” Computer Vision and Image Understanding, vol. 115, no. 8, pp. 1134–1144, 2011.
[24] E. Karabatak, A. Sengur, and Y. Guo, “Modified neutrosophic approach to color image segmentation,” Journal of Electronic Imaging, vol. 22, no. 1, p. 13005, 2013.
[25] Y. Guo and A. Sengur, “NCM: Neutrosophic c-means clustering algorithm,” Pattern Recognition, vol. 48, no. 8, pp. 2710–2724, 2015.
[26] Y. Yuan, Y. Ren, X. Liu, and J. Wang, Approach to image segmentation based on interval neutrosophic set. Infinite Study, 2020.
[27] Ahmad Salama , Malath Al Aswad , Rasha Dalla , Rozina Ali, A Study of Neutrosophic Differential Equations By Using the One-Dimensional Geometric AH-Isometry Of NeutrosophicLaplace Transformation, Journal of Neutrosophic and Fuzzy Systems, Vol. 4 , No. 2 , (2022) : 08-25
[28] Y. Akbulut, A. Şengür, Y. Guo, and K. Polat, “KNCM: Kernel neutrosophic c-means clustering,” Applied Soft Computing, vol. 52, pp. 714–724, 2017.
[29] A. R. Hawas, A. S. Ashour, and Y. Guo, “Neutrosophic set in medical image clustering,” in Neutrosophic Set in Medical Image Analysis, Elsevier, 2019, pp. 167–187.
[30] J. Mohan, V. Krishnaveni, and Y. Huo, “Automated brain tumor segmentation on MR images based on neutrosophic set approach,” in 2015 2nd international conference on electronics and communication systems (ICECS), 2015, pp. 1078–1083.
[31] A. S. Ashour, A. R. Hawas, Y. Guo, and M. A. Wahba, “A novel optimized neutrosophic k-means using genetic algorithm for skin lesion detection in dermoscopy images,” Signal, Image and Video Processing, vol. 12, no. 7, pp. 1311–1318, 2018.
[32] A. A. Salama, M. Eisa, S. A. ELhafeez, and M. M. Lotfy, “Review of recommender systems algorithms utilized in social networks based e-Learning systems & neutrosophic system,” Neutrosophic Sets and Systems, vol. 8, pp. 32–40, 2015.
[33] Y. Guo and H.-D. Cheng, “New neutrosophic approach to image segmentation,” Pattern Recognition, vol. 42, no. 5, pp. 587–595, 2009.
[34] Y. Guo, R. Xia, A. Şengür, and K. Polat, “A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering,” Neural Computing and Applications, vol. 28, no. 10, pp. 3009–3019, 2017.
[35] Y. Guo and A. Şengür, “A novel image segmentation algorithm based on neutrosophic similarity clustering,” Applied Soft Computing, vol. 25, pp. 391–398, 2014.
[36] H. D. Cheng, Y. Guo, and Y. Zhang, “A novel image segmentation approach based on neutrosophic set and improved fuzzy c-means algorithm,” New Mathematics and Natural Computation, vol. 7, no. 01, pp. 155–171, 2011.
[37] V. WB, I. Kandasamy, F. Smarandache, V. Devvrat, and S. Ghildiyal, “Study of imaginative play in children using single-valued refined neutrosophic sets,” Symmetry, vol. 12, no. 3, p. 402, 2020.
[38] A. Q. Ansari, P. Sharma, and M. Tripathi, "Automatic seizure detection using a neutrosophic classifier," Physical and Engineering Sciences in Medicine, vol. 43, no. 3, pp. 1019–1028, 2020.
[39] I. V. Pustokhina et al., “Automatic vehicle license plate recognition using optimal K-means with convolutional neural network for intelligent transportation systems,” Ieee Access, vol. 8, pp. 92907–92917, 2020.
[40] A. Elhassouny, S. Idbrahim, and F. Smarandache, Machine learning in Neutrosophic Environment: A Survey. Infinite Study, 2019.
[41] N. Akhtar, N. Agarwal, and A. Burjwal, “K-mean algorithm for image segmentation using neutrosophy,” in 2014 International conference on advances in computing, communications, and informatics (ICACCI), 2014, pp. 2417–2421.
