Abstract
In the last 20 years, rapid and significant developments have occurred in communication and information technologies. In parallel with these developments, the importance of smartphones has increased. In addition, many smartphone manufacturers have launched and continue to launch a number of new models with many features. People who want to buy a new smartphone have difficulties selecting the best smartphone among the numerous models available on the technology markets. Therefore, smartphone selection has become a complex multi-criteria decision-making (MCDM) problem for people. Hence, decision-making processes will be facilitated by using MCDM methods, and these will provide the most appropriate decision. In this paper, the best smartphone among the 28 alternatives determined by the person who will buy them are selected by using three main criteria and 17 sub-criteria with the help of a two-phased MCDM approach. In the first phase, 28 smartphone alternatives are ranked using the analytic network process (ANP). In the second phase, a model that includes the best four alternatives of ANP is created. Afterwards, the best smartphone is selected using the generalised Choquet integral (GCI) method according to this model. Finally, the findings and the results are given.
Highlights
87 per cent of the world’s population are mobile phone subscribers
28 chosen smartphone alternatives are reduced by using analytic network process (ANP)
The best four alternatives determined by ANP are used in generalised choquet integral (GCI), and the best smartphone is selected
Summary
87 per cent of the world’s population (approximately 6.8 billion people) are mobile phone subscribers. The interest in mobile communication is increasing. In parallel to this interest, mobile phone manufacturers have produced many different models. Because of the fast circulation in mobile phone models, mobile phone users have decision-making difficulties when purchasing the most suitable phone model. New generation mobile phones are used for communication, and for many different purposes such as internet access, computer, camera, calculator, etc. Customers want to choose the most suitable smartphones by taking into account many qualitative and quantitative criteria. Quantitative criteria include, for example, pixel density, camera resolution, random access memory (RAM) size, battery power, talk time, standby time, built-in memory, weight, thickness, screen size, processor type, number of processors, and cost; and qualitative criteria include durability, ease of use, aesthetics, and brand
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