Evaluation of the Unmanned Aerial Vehicle (UAV) Recovery System Based on the Analytic Hierarchy Process and Grey Relational Analysis

Zhao, Yuecen; Lou, Wenzhong; Wang, Jinkui; Liu, Weitong; Su, Zilong

doi:10.1109/icus48101.2019.8995989

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Zhao et al (2019) considered the construction of the evaluation system of the unmanned aerial vehicle (UAV) recovery system with six evaluation indexes of safety, cost, personnel requirement, landing environment, time and UAV's own scale. By combining the qualitative and quantitative analyses, the authors used the AHP and the GRA in determining the effective evaluation of the UAV recovery system.…”

Section: The Literature Surveymentioning

confidence: 99%

The most livable city selection in Turkey with the grey relational analysis

Köse

Vural

Canbulut

2020

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PurposeThis study has two main objectives: (1) to expand the application areas of grey system theory and (2) to select the most livable city in Turkey.Design/methodology/approachChoosing the most livable city is a complex problem that requires many criteria to be considered. It is important to select decision points according to which the criteria selection will be made and to what extent the criteria will affect the evaluation. For this purpose, a questionnaire was prepared to determine the criteria to be used in the assessment. The survey results were evaluated by the factor analysis (FA) and it was found that the criteria included in the survey were grouped under seven factors. Then, criteria weights were assigned to the determined criteria using the analytic hierarchy process (AHP). At the last stage, Turkey's six most popular cities are graded using the grey relational analysis (GRA) to reduce the uncertainty existing in the process of evaluation.FindingsThe obtained results indicated that the most livable city in Turkey is Istanbul. Istanbul is followed by Izmir, Antalya, Eskisehir, Bursa and Ankara, respectively. Considering that Istanbul is a center of attraction in many respects, this result is not a surprise for many people. It is also observed that the results obtained overlap with similar studies in the literature.Originality/valueGrey system theory and grey numbers have not been previously used to select the most livable city. With this aspect, this study has expanded the application of grey system theory and made an important contribution to the literature.

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Section: The Literature Surveymentioning

confidence: 99%

The most livable city selection in Turkey with the grey relational analysis

Köse

Vural

Canbulut

2020

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Uncovering interrelationships between barriers to unmanned aerial vehicles in humanitarian logistics

et al. 2022

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Recent disasters, such as the ongoing COVID-19 pandemic, have sparked an interest in new applications for unmanned aerial vehicles (UAVs) in humanitarian aid. Nevertheless, there are still many divisive changes that need to be made in order to implement UAVs into a country’s humanitarian sector successfully. Hence, this paper aims to analyze the various barriers hindering the implementation of UAVs in humanitarian logistics for both developed and developing nations. To accomplish this, the study is presented in three steps. First, previous literature and opinions from experts are analyzed to illuminate particular factors that hinder UAV implementation. Next, we propose an interval-valued intuitionistic fuzzy set (IVIFS) based graph theory and matrix approach (GTMA) to calculate a drone implementation hindrance index (DIHI). The GTMA method used in this paper utilizes the PERMAN algorithm to calculate the permanent function. Finally, the DIHI values are plotted and analyzed to compare the readiness of drone implementation between developed and developing economies. A sensitivity analysis is then performed to provide validity to the results obtained. The study has revealed that both types of countries must first improve their inadequate government regulations regarding humanitarian UAVs. Developing countries must also focus on enhancing the technological awareness of their population. The results of this study can be used by policymakers and practitioners to smoothly implement UAVs in their country's humanitarian sector. The general index defined in this paper can also be calculated for specific countries using the steps mentioned in the manuscript.

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