<abstract xmlns="http://www.w3.org/1999/xhtml">

During the past few years, the number of drones (unmanned aerial vehicles, or UAVs) manufactured and purchased has risen dramatically. It is predicted that it will continue to spread, making its use inevitable in all walks of life. Drone apps are therefore expected to overrun the app stores in the near future. The UAV’s software is not being studied/researched despite several active research and studies being carried out in the UAV’s hardware field. A large-scale empirical analysis of Google Play Store Platform apps connected to drones is being done in this direction. There are, however, a number of challenges with drone apps because of the lack of formal and specialized app development procedures. In this paper, eleven drone app issues have been identified. Then we applied the DEMATEL (Decision Making Trial and Evaluation Laboratory) method to analyze the drone app issues (DIs) and divide these issues into cause and effect groups. First, multiple experts assess the direct relationships between influential issues in drone apps. The evaluation results are presented in spherical fuzzy numbers (SFN). Secondly, we convert the linguistic terms into SFN. Thirdly, based on DEMATEL, the cause-effect classifications of issues are obtained. Finally, the issues in the cause category are identified as DI’s in drone apps. The outcome of the research is compared with the other variants of DEMATEL, like rough-Z-numberbased DEMATEL and spherical fuzzy number, and the comparative results suggest that spherical fuzzy DEMATEL is the most fitting method to analyze the interrelationship of different issues in drone apps. The findings revealed that highest influenced values feature request (DI9) 3.12, Customer support (DI6) 2.91, Connection/Sync ((DI4) 2./72, Cellular Data Usage ((DI3) 2.51, Battery (DI2) 2.31, Advertisements ((DI1) – 0.3, Cost (DI5) – 0.5, Additional cost (D11) – 0.5, Device Compatibility (DI7) – 0.96, and Functional Error (DI10) – 1.2. The outcome of this work definitely assists the software industry in the successful identification of the critical issues where professionals and project managers could really focus.
</abstract>

During the past few years, the number of drones (unmanned aerial vehicles, or UAVs) manufactured and purchased has risen dramatically. It is predicted that it will continue to spread, making its use inevitable in all walks of life. Drone apps are therefore expected to overrun the app stores in the near future. The UAV’s software is not being studied/researched despite several active research and studies being carried out in the UAV’s hardware field. A large-scale empirical analysis of Google Play Store Platform apps connected to drones is being done in this direction. There are, however, a number of challenges with drone apps because of the lack of formal and specialized app development procedures. In this paper, eleven drone app issues have been identified. Then we applied the DEMATEL (Decision Making Trial and Evaluation Laboratory) method to analyze the drone app issues (DIs) and divide these issues into cause and effect groups. First, multiple experts assess the direct relationships between influential issues in drone apps. The evaluation results are presented in spherical fuzzy numbers (SFN). Secondly, we convert the linguistic terms into SFN. Thirdly, based on DEMATEL, the cause-effect classifications of issues are obtained. Finally, the issues in the cause category are identified as DI’s in drone apps. The outcome of the research is compared with the other variants of DEMATEL, like rough-Z-numberbased DEMATEL and spherical fuzzy number, and the comparative results suggest that spherical fuzzy DEMATEL is the most fitting method to analyze the interrelationship of different issues in drone apps. The findings revealed that highest influenced values feature request (DI9) 3.12, Customer support (DI6) 2.91, Connection/Sync ((DI4) 2./72, Cellular Data Usage ((DI3) 2.51, Battery (DI2) 2.31, Advertisements ((DI1) – 0.3, Cost (DI5) – 0.5, Additional cost (D11) – 0.5, Device Compatibility (DI7) – 0.96, and Functional Error (DI10) – 1.2. The outcome of this work definitely assists the software industry in the successful identification of the critical issues where professionals and project managers could really focus.

Application of the Spherical Fuzzy Dematel Model for Assessing the Drone Apps Issues

Jaypee University of Engineering and Technology

Journal of Automation, Mobile Robotics and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

During the past few years, the number of drones (unmanned aerial vehicles, or UAVs) manufactured and purchased has risen dramatically. It is predicted that it...

Application of the Spherical Fuzzy Dematel Model for Assessing the Drone Apps Issues

Data publikacji: 26 sty 2024

Zakres stron: 36 - 50

Otrzymano: 25 lip 2022

Przyjęty: 03 lis 2022

DOI: https://doi.org/10.14313/jamris/2-2023/14

Słowa kluczowe
Drone apps, Issues, Multi-criteria decision making, Spherical fuzzy DEMATEL

© 2023 Mamta Pandey et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Application of the Spherical Fuzzy Dematel Model for Assessing the Drone Apps Issues

Data publikacji: 26 sty 2024

Zakres stron: 36 - 50

Otrzymano: 25 lip 2022

Przyjęty: 03 lis 2022

DOI: https://doi.org/10.14313/jamris/2-2023/14

Słowa kluczoweDrone apps, Issues, Multi-criteria decision making, Spherical fuzzy DEMATEL

© 2023 Mamta Pandey et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
Drone apps, Issues, Multi-criteria decision making, Spherical fuzzy DEMATEL