Applying the Spherical fuzzy DEMATEL Approach for Identification and Prioritization of the Drone App Issues
Mamta Pandey, Ratnesh Litoriya, Prateek Pandey · Research Square · 2022
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. There are two key parts to the UAV: the physical hardware and the software that governs its navigation or performs various duties depending on the area of concern. Manufacturers of drones release a mobile app for operating the drones. Only a small number of drone manufacturers also offer development kits for those who want to create their own unique or more creative apps for their devices. Drone apps are therefore expected to be overrun the app stores in the near future. UAV's software is not being studied/researched despite several active researches 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 apps issues have been identified. Then we applied DEMATEL (Decision Making Trial and Evaluation Laboratory) method to analyze the drone apps issues (DIs) and divide these issues into cause and effect groups. Firstly, multiple experts evaluate the direct relations of influential issues in drone apps. The evaluation results are presented in spherical fuzzy numbers (SFN). Secondly, 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‐number‐based 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 app. The outcome of this work definitely assists the software industry to successful identification of the critical issues where professionals and project managers could really focus on.