aspg-21-4064-1791472098
20261008150818
American Scientific Publishing Group
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American Scientific Publishing Group
International Journal of Neutrosophic Science
IJNS
2692-6148
2690-6805
2026
27
2
Neutrosophic Prediction of Consumer Decisions Using the RBF Neural Network Method
Omar Fawzi Salih
Al-Rawi
Technical College of Management, Northern Technical University, Mosul 41000, Iraq
Ahmed Naziyah
alkhateeb
College of Computer Math, University of Mosul, Mosul, 41000, Iraq
Siti Salwani
Yaacob
Faculty of Computing, University Malaysia Pahang Al-Sultan Abdullah, Malaysia
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The utilization of neutrosophic concept to forecast patron purchase conduct has been thoroughly tested in preceding research using various fashions. This study examines the number one elements affecting clients' selections to shop for mobile phones, dividing them into 4 separate ranges consistent with their purchasing behaviours. The tiers, from the first to the fourth layer, characterize exclusive ranges of customer hobby and participation. The main intention is to create an efficient neutrosophic predictive version that examines purchaser conduct thru pertinent traits that signify their opportunity of buying. We utilize the Neutrosophic Radial Basis Function (NRBF) model for neutrosophic class to do that. The results indicate a minimal blunders fee and improved neutrosophic category accuracy, mainly in contrast to the BIC version, which exhibited lower accuracy. NRBF exhibited a sturdy location below the curve (AUC) rating, underscoring the model's efficacy. These findings provide big insights into consumer preferences and decision-making methods, enhancing procedures for market analysis and cantered advertising initiatives.
2026
250
261
4064
https://creativecommons.org/licenses/by/4.0/
10.54216/IJNS.270221
https://www.americaspg.com/journal/21/article/4064
-
https://www.americaspg.com/storage/21756845658.pdf