Fault Evaluation of Unmanned Aerial Vehicles Power System With an Improved Fuzzy Group Decision-Making

Yan, Yingyi; Lv, Z.; Zhang, Ruiyu

doi:10.2316/journal.206.2018.3.206-5359

Cited by 3 publications

(3 citation statements)

References 20 publications

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“…Our future work will focus on UAV sense obstacle avoidance based on multiple attribute three-way decision to reduce the problem size and save energy of UAVs. We can calculate the conditional probability, in which the obstacle will produce a threat to the UAV by the fuzzy multiple attribute decision method [2], [18], [19]. Then, based on the three-way decision [20]- [24], we can divide the threat of obstacles into danger, safety, and make a further evaluation to reduce the loss caused by bad decisions.…”

Section: Discussionmentioning

confidence: 99%

“…Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields such as environment monitoring, border patrol, reconnaissance, surveillance, and rescue [1], [2]. Due to the increasing diversity of missions and the limited capabilities of single aircraft, multi-UAV joint missions have become a popular choice in many fields.…”

Section: Introductionmentioning

confidence: 99%

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Obstacle Avoidance for Multi-Uav System With Optimized Artificial Potential Field Algorithm

Yan¹,

Lv²,

Yuan³

et al. 2021

International Journal of Robotics and Automation

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Unmanned aerial vehicles (UAVs) have incomparable advantages and gradually form multi-UAV systems, in which many UAVs work together to accomplish tasks through cooperation. In the case of flying in an unknown environment and the very close distance between them, it is essential to have a useful collision avoidance system to avoid the collision between obstacles and UAVs and between inter-UAVs.In this paper, a comprehensive optimal obstacle avoidant mechanism of UAV path planning is constructed.The flight environment of UAVs is described, and the warning ranges and danger ranges of UAV and obstacles are given fully considering the execution time and flight platform of UAV. Then, a reliable artificial potential field (APF) model for path planning of multi-UAV systems in a complex environment is presented, in which a method to save UAV's energy and the solution for UAV Local minimization problem are proposed. Finally, the applicability of the improved algorithm is verified by simulation experiments.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Obstacle Avoidance for Multi-Uav System With Optimized Artificial Potential Field Algorithm

Yan¹,

Lv²,

Yuan³

et al. 2021

International Journal of Robotics and Automation

Self Cite

View full text Add to dashboard Cite

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“…According to (2), by computing the superior index R i for attribute c i , we get For ∀x i , according to the given loss functions of UAV x i , calculate the decision initial values α i and β i based on (8) and ( 9), respectively, which are shown in Table 3.…”

Section: The Application Analysis Of the Presented Modelmentioning

confidence: 99%

RAPID SELECTING UAVs FOR COMBAT BASED ON THREE-WAY MULTIPLE ATTRIBUTE DECISION

2021

International Journal of Robotics and Automation

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Unmanned aerial vehicles (UAVs) can carry out more and more dangerous missions and strike deep in the skies over hostile military sites. Thus, selecting appropriate UAVs to attend combat through rapid assessment is a hot topic in current research. In consideration of formulating practical evaluation as a three-way multiple attribute decision making (MADM) problem, a comprehensive assessment method based on interval-valued intuitionistic fuzzy set (IVIFs) is introduced under the context of determining the precision combat mission. First, the critical attributes of the UAV combat effectiveness are determined according to battlefield intelligence. Second, the attribute weights are computed by exploring the feature information of attribute orders given by experts. Third, the conditional probability a UAV may be selected to fight is calculated in accordance with an improved IVIFs score function. Then the UAVs' classification results of three-way decisions are obtained by setting the risk avoidance coefficients. Finally, the validity of the given method is proved throughout the decision-making process of selecting UAVs in a combat mission.

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Research on women’s career choice based on MADM with IFS

Gong

2020

J. Phys.: Conf. Ser.

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Role positioning of women is an important research topic, which seriously affects women’s life path. This paper constructs three-way decision models based on intuitive multi-attribute decision making method (MADM) to help women choose roles. First, by analysing the factors that affect the role positioning of modern women, the decision-making evaluation system is constructed. Second, decision attribute values for every female are given by intuitionistic fuzzy sets (IFS). Third, the conditional possibilities of becoming a professional female is computed combined with the attribute weights. Finally, each female’s role is defined by comparing conditional probabilities and decision initial values computed by loss functions.

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Fault Evaluation of Unmanned Aerial Vehicles Power System With an Improved Fuzzy Group Decision-Making

Cited by 3 publications

References 20 publications

Obstacle Avoidance for Multi-Uav System With Optimized Artificial Potential Field Algorithm

Obstacle Avoidance for Multi-Uav System With Optimized Artificial Potential Field Algorithm

RAPID SELECTING UAVs FOR COMBAT BASED ON THREE-WAY MULTIPLE ATTRIBUTE DECISION

Research on women’s career choice based on MADM with IFS

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