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New Refinement of an Intelligent System Design for Naval Operations

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Innovations in Mechatronics Engineering (icieng 2021)

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Abstract

To better optimize the decision chain in a maritime disaster context, allowing a reduction both in time of support and costs, recently, the authors considered the facilities and high qualified staff of Portuguese Navy proposing a variant of the Delphi method, a method where the opinion of each element of a team is considered an important information source to contribute to a decision, implementing a system that prioritize certain teams for perform specific in incidents, taking into account the importance of each team that acts in case of a disaster occurrence.

Continuing the work developed recently and extending the technique used before, in the present manuscript, we propose an adjustment of each expert opinion weight when the Delphi method is applied. The weight of each expert does not not depend on years of expert experience exclusively but also from the type of such experience. Firstly, we have used the hierarchical classification, allowing to identify different patterns for experts with the “‘same experience”’. Also discriminant analysis and multidimensional scaling revealed to be adequate techniques for this issue. The experience of each expert was evaluated using the proximity/distance between the individuals in the group of proposed experts and compared with the number of consensus presented.

We hope to have given an improvement to the optimization o the decision support system used in a maritime disaster context of the Portuguese Navy.

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Acknowledgements

This work was supported by Portuguese funds through the Center of Naval Research (CINAV), Portuguese Naval Academy, Portugal and The Portuguese Foundation for Science and Technology (FCT), through the Center for Computational and Stochastic Mathematics (CEMAT), University of Lisbon, Portugal, project UID/Multi/04621/2019.

Author information

Authors and Affiliations

  1. CINAV, Center of Naval Research, Naval Academy, Portuguese Navy, 2810-001, Almada, Portugal

    M. Filomena Teodoro & Mário J. Simões Marques

  2. CEMAT, Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, Lisbon University, 1048-001, Lisbon, Portugal

    M. Filomena Teodoro

  3. UNIDEMI, Department of Mechanical and Industrial Engineering, Faculty of Sciences and Technology, New Lisbon University, 2829-516, Caparica, Portugal

    Isabel Nunes

  4. FCT, Faculty of Sciences and Technology, New Lisbon University, 2829-516, Caparica, Portugal

    Isabel Nunes & Gabriel Calhamonas

  5. ISTAR - ISCTE, Instituto Universitário de Lisboa, Lisboa Portugal, 1649-026, Lisbon, Portugal

    Marina A. P. Andrade

Authors
  1. M. Filomena Teodoro
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  2. Mário J. Simões Marques
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  3. Isabel Nunes
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  4. Gabriel Calhamonas
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  5. Marina A. P. Andrade
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Corresponding author

Correspondence to M. Filomena Teodoro .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, University of Minho, Guimarães, Portugal

    José Machado

  2. Department of Industrial Electronics, University of Minho, Guimarães, Portugal

    Filomena Soares

  3. Poznan University of Technology, Poznan, Poland

    Justyna Trojanowska

  4. Department of Mechatronics Engineering, Faculty of Engineering, Erciyes University, Kayseri, Turkey

    Sahin Yildirim

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Teodoro, M.F., Marques, M.J.S., Nunes, I., Calhamonas, G., Andrade, M.A.P. (2022). New Refinement of an Intelligent System Design for Naval Operations. In: Machado, J., Soares, F., Trojanowska, J., Yildirim, S. (eds) Innovations in Mechatronics Engineering. icieng 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-79168-1_16

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