Selection of an Integrated Security Area for locating a State Military Police Station based on MCDM/A method

Silva, Lúcio Câmara e; Daher, Suzana de Franca Dantas; Santiago, Katarina; Costa, Ana Paula Cabral Seixas

doi:10.1109/smc.2019.8914307

Cited by 14 publications

(2 citation statements)

References 13 publications

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“…The application of multicriteria decision-making methods in the field of security, and specifically in military issues, is described in many papers, for example: in the selection of weapons in the model AHP-TOPSIS [32], in the selection of fire system using Adaptive Neuro-Fuzzy Inference System Based Model [33], in the risk assessment in overcoming water obstacles using fuzzy logic [34], in the position selection for military video surveillance using the AHP method [35], in the selection of military police units base by FITradeoff method in multi-criteria decision support system [36], in the selection of helicopters using PROMETHEE method [37], in the selection of a location for armored vehicle repair workshop using Multi-Expert Interval-Valued Intuitionistic Fuzzy model [38], in the selection of a fighter aircraft with the ARAS-FUCOM approach [39], in the selection of war ships using the AHP method [40], etc.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Modification of the DIBR and MABAC Methods by Applying Rough Numbers and Its Application in Making Decisions

et al. 2022

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This study considers the problem of selecting an anti-tank missile system (ATMS). The mentioned problem is solved by applying a hybrid multi-criteria decision-making model (MCDM) based on two methods: the DIBR (Defining Interrelationships Between Ranked criteria) and the MABAC (Multi-Attributive Border Approximation area Comparison) methods. The methods are modified by applying rough numbers, which present a very suitable area for considering uncertainty following decision-making processes. The DIBR method is a young method with a simple mathematical apparatus which is based on defining the relation between ranked criteria, that is, adjacent criteria, reducing the number of comparisons. This method defines weight coefficients of criteria, based on the opinion of experts. The MABAC method is used to select the best alternative from the set of the offered ones, based on the distance of the criteria function of every observed alternative from the border approximate area. The paper has two main innovations. With the presented decision-making support model, the ATMS selection problem is raised to a higher level, which is based on a proven mathematical apparatus. In terms of methodology, the main innovation is successful application of the rough DIBR method, which has not been treated in this way in the literature so far. Additionally, an analysis of the literature related to the research problem as well as to the methods used is carried out. After the application of the model, the sensitivity analysis of the output results of the presented model to the change of the weight coefficients of criteria is performed, as well as the comparison of the results of the presented model with other methods. Finally, the proposed model is concluded to be stable and multi-criteria decision-making methods can be a reliable tool to help decision makers in the selection process. The presented model has the potential of being applied in other case studies as it has proven to be a good means for considering uncertainty.

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Section: Theoretical Backgroundmentioning

confidence: 99%

Modification of the DIBR and MABAC Methods by Applying Rough Numbers and Its Application in Making Decisions

et al. 2022

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“…HRI is a field of study to understand, design and evaluate robotic systems, while interacting with humans [1]. The interaction involves several communication forms and can be mainly categorized into two types: remote interaction (i.e., search and rescue [2][3][4], military and police [5,6], space exploration [7][8][9], etc.) and proximate interaction (i.e., assistive robotics and educational robotics [10][11][12][13][14], home or industry [15,16], etc.…”

Section: Introductionmentioning

confidence: 99%

A Human-Inspired Control Strategy for Improving Seamless Robot-To-Human Handovers

Neranon

Sutiphotinun

2021

Applied Sciences

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One of the challenging aspects of robotics research is to successfully establish a human-like behavioural control strategy for human–robot handover, since a robotic controller is further complicated by the dynamic nature of the human response. This paper consequently highlights the development of an appropriate set of behaviour-based control for robot-to-human object handover by first understanding an equivalent human–human handover. The optimized hybrid position and impedance control was implemented to ensure good stability, adaptability and comfort of the robot in the object handover tasks. Moreover, a questionnaire technique was employed to gather information from the participants concerning their evaluations of the developed control system. The results demonstrate that the quantitative measurement of performance of the human-inspired control strategy can be considered acceptable for seamless human–robot handovers. This also provided significant satisfaction with the overall control performance in the robotic control system, in which the robot can dexterously pass the object to the receiver in a timely and natural manner without the risk of harm or injury by the robot. Furthermore, the survey responses were in agreement with the parallel test outcomes, demonstrating significant satisfaction with the overall performance of the robot–human interaction, as measured by an average rating of 4.20 on a five-point scale.

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Using FITradeoff Method for Supply Selection with Decomposition and Holistic Evaluations for Preference Modelling

Roselli

Almeida

2021

Lecture Notes in Business Information Processing

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Selection of an Integrated Security Area for locating a State Military Police Station based on MCDM/A method

Cited by 14 publications

References 13 publications

Modification of the DIBR and MABAC Methods by Applying Rough Numbers and Its Application in Making Decisions

Modification of the DIBR and MABAC Methods by Applying Rough Numbers and Its Application in Making Decisions

A Human-Inspired Control Strategy for Improving Seamless Robot-To-Human Handovers

Using FITradeoff Method for Supply Selection with Decomposition and Holistic Evaluations for Preference Modelling

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