Multi-criteria decision-making for purchasing cell phones using machine learning approach Online publication date: Tue, 13-Mar-2018
by Kriti Shree; Sarita Mohanty; Sachi Nandan Mohanty
International Journal of Decision Sciences, Risk and Management (IJDSRM), Vol. 7, No. 3, 2017
Abstract: The process of selecting and purchasing cell phones is a multi-criteria decision-making (MCDM) problem with conflicting and diverse objectives. This study discusses various techniques involved in selecting and purchasing a cell phone by using machine learning approach. The responses of the participants were sought through a questionnaire which gave them different options with regard to the latest features available in a cell phone. Seven independent input variables - cost, battery backup, rear camera, weight, size, memory and operating system, were provided to the participants to elicit their responses. Each of the input variables was measured on a scale expressed in linguistic terms as low, medium and high. Mamdani approach, traditional fuzzy reasoning tool (FLC) and neuro-fuzzy system (ANFIS) were used to design three input and one output processes. The back-propagation algorithm formed the basis for application of the neuro-fuzzy system. Two traditional fuzzy reasoning tools - the artificial neural network (ANN) approach and the neuro-fuzzy system, were used to arrive at more accurate understanding of the process of selecting a cell phone for personal use.
Online publication date: Tue, 13-Mar-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Decision Sciences, Risk and Management (IJDSRM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com