Brown–Gibson Model as a Multi-criteria Decision Analysis (MCDA) Method: Theoretical and Mathematical Formulations, Literature Review, and Applications

Yimen, Nasser; Tchotang, Théodore; Kanmogne, Abraham; Adamu, Yungho; Fon, Fombe Lawrence; Dagbasi, Mustafa

doi:10.1007/978-981-16-7414-3_9

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…. , x n ) is the filtered data and z i is the i-th normalized data [32,33]. The increase in the average value compared to the norm confirms the involvement of the SNS.…”

Section: Gsr Analysismentioning

confidence: 89%

A Novel Physiological-Based System to Assess Drivers’ Stress during Earth Moving Simulated Activities

et al. 2022

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Earth-moving vehicles (EMVs) are vital in numerous industries, including construction, forestry, mining, cleaning, and agriculture. The changing nature of the off-road environment in which they operate makes situational awareness for readiness and, consequently, mental stress crucial for drivers and requires a high level of controllability. Therefore, the monitoring of drivers’ acute stress patterns may be used as an input in identifying various levels of attentiveness. This research presents an experimental evaluation of a physiological-based system that can be useful to evaluate the readiness of a driver in different conditions. For the experimental validation, physiological signals such as electrocardiogram (ECG), galvanic skin response (GSR) and speech data were collected from nine participants throughout driving experiments of increasing complexity on a specific simulator. The experimental results show that the identified parameters derived from the acquired physiological signals can help us understand the driver status when performing different tasks, the engagement of which is related to different road environments. This multi-parameter approach can provide more reliable information compared to single parameter approaches (e.g., eye monitoring with a camera) and identify driver status variations, from relaxed to stressed or drowsy. The use of these signals allows for the development of a smart driving cockpit, which could communicate to the vehicle the driver’s status, to set up an innovative protection system aiming to increase road safety.

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“…. , x n ) is the filtered data and z i is the i-th normalized data [32,33]. The increase in the average value compared to the norm confirms the involvement of the SNS.…”

Section: Gsr Analysismentioning

confidence: 89%

A Novel Physiological-Based System to Assess Drivers’ Stress during Earth Moving Simulated Activities

et al. 2022

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“…First, if the basic data being evaluated are beneficial attributes (e.g., goals and assists), the data can be described as having a characteristic of "the higher, the better." The data normalization of such data can be calculated with Equation (1) [64,65]:…”

Section: Normalize the Index Datamentioning

confidence: 99%

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

Chang

2022

Mathematics

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This paper proposes a multicriteria decision-making model based on a three-layer virtual internet of things (IoT) algorithm to automatically track and evaluate professional football players’ performance over the Internet. The three layers were respectively related to (1) automated data reading, (2) the players’ comprehensive grey relational degree calculation, and (3) the players’ classification. The methodology was applied in the context of the COVID-19 pandemic to investigate the performance of the top 10 defenders (according to The Sun, an internationally renowned sports website) in the European leagues, participating in the knockout phase of the 2019–20 UEFA Champions League. The results indicate that Virgil van Dijk of Liverpool FC was the best defender, followed by Harry Maguire of Manchester United, and Sergio Ramos of Real Madrid in the second and third positions, respectively. However, this ranking contradicted that of The Sun’s, which ranked these defenders in the seventh, tenth, and eighth positions, respectively. These results can help club management, coaches, and teams negotiate price positioning and future contract renewals or player transfers.

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Brown–Gibson Model as a Multi-criteria Decision Analysis (MCDA) Method: Theoretical and Mathematical Formulations, Literature Review, and Applications

Cited by 2 publications

References 23 publications

A Novel Physiological-Based System to Assess Drivers’ Stress during Earth Moving Simulated Activities

A Novel Physiological-Based System to Assess Drivers’ Stress during Earth Moving Simulated Activities

Developing a Multicriteria Decision-Making Model Based on a Three-Layer Virtual Internet of Things Algorithm Model to Rank Players’ Value

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