Abstract
New business models started to emerge as Location-Based technologies that can be used to locate individuals and create value out of it. One of the most commonly adopted business models is location-based advertisement (LBA) model which can be defined as sending customized advertisements depending on the location of the person. LBA can successfully target customers since it uses the location data when communicating. Using the current and past data to propose the right advertisement to the right person at the right time increase the conversion rates. When LBA systems detect a person there are generally various potential advertisement messages to send. Hence selecting the right advertisement becomes a vital decision. In this study, we model the selection problem as a multi-criteria decision making problem and use Spherical Fuzzy AHP integrated with Spherical Fuzzy VIKOR method to provide an autonomous decision mechanism.
Original language | English |
---|---|
Pages (from-to) | 5-23 |
Number of pages | 19 |
Journal | Journal of Multiple-Valued Logic and Soft Computing |
Volume | 35 |
Issue number | 1-2 |
Publication status | Published - 2020 |
Bibliographical note
Publisher Copyright:©2020 Old City Publishing, Inc.
Keywords
- Autonomous decision model
- Location-based advertisements
- Spherical fuzzy AHP
- Spherical fuzzy VIKOR
- Spherical fuzzy sets