Continuous reinforcement operator applied to resilience in disaster rescue networks

Javad J. Jassbi; Rita A. Ribeiro; Luis M. Camarinha-Matos; José Barata; Maria Isabel Gomes

doi:10.1109/FUZZ-IEEE.2018.8491482

Continuous reinforcement operator applied to resilience in disaster rescue networks

Javad J. Jassbi, Rita A. Ribeiro, Luis M. Camarinha-Matos, José Barata, Maria Isabel Gomes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

31 Downloads (Pure)

Abstract

Resilience measurement can be viewed as a multicriteria hierarchical decision making problem since calculating the final level of resilience involves measuring different criteria, at several hierarchical levels, and then merging the information together. In this paper, a resilience model for disaster rescue networks is discussed with a full-reinforcement operator, denoted continuous reinforcement operator. This approach is tested with different levels of reinforcement and the results are compared with those from a Fuzzy Inference System. The proposed approach offers interesting features to support balanced development of disaster rescue networks and facilitates managerial decisions by imposing standards for criteria to penalize or reward the information fusion process.

Original language	English
Title of host publication	2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Volume	2018-July
ISBN (Electronic)	978-1-5090-6020-7
DOIs	https://doi.org/10.1109/FUZZ-IEEE.2018.8491482
Publication status	Published - 12 Oct 2018
Event	2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Rio de Janeiro, Brazil Duration: 8 Jul 2018 → 13 Jul 2018

Conference

Conference	2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018
Country/Territory	Brazil
City	Rio de Janeiro
Period	8/07/18 → 13/07/18

Keywords

Averaging Aggregation Operator
Disaster Rescue Network
Full-Reinforcement Aggregation Operators
Multiple Criteria Decision Making
Resilience

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Continuous reinforcement operator applied to resilience in disaster rescue networkFinal published version, 3.35 MB

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Jassbi, J. J., Ribeiro, R. A., Camarinha-Matos, L. M., Barata, J., & Gomes, M. I. (2018). Continuous reinforcement operator applied to resilience in disaster rescue networks. In 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings (Vol. 2018-July). Article 8491482 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/FUZZ-IEEE.2018.8491482

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keywords = "Averaging Aggregation Operator, Disaster Rescue Network, Full-Reinforcement Aggregation Operators, Multiple Criteria Decision Making, Resilience",

author = "Jassbi, {Javad J.} and Ribeiro, {Rita A.} and Camarinha-Matos, {Luis M.} and Jos{\'e} Barata and Gomes, {Maria Isabel}",

note = "info:eu-repo/grantAgreement/FCT/5876/147324/PT# info:eu-repo/grantAgreement/FCT/5876/147204/PT# This work was partially funded by FCT Strategic Program UID/EEA/00066/2013, project PEST of UNINOVA and also by the Funda{\c c}{\~a}o para a Ci{\^e}ncia e a Tecnologia (Portuguese Foundation for Science and Technology) through theproject UID/MAT/00297/2013 (Centro de Matem{\'a}tica e Aplica{\c c}{\~o}es).; 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 ; Conference date: 08-07-2018 Through 13-07-2018",

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Jassbi, JJ , Ribeiro, RA , Camarinha-Matos, LM , Barata, J & Gomes, MI 2018, Continuous reinforcement operator applied to resilience in disaster rescue networks. in 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. vol. 2018-July, 8491482, Institute of Electrical and Electronics Engineers (IEEE), 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018, Rio de Janeiro, Brazil, 8/07/18. https://doi.org/10.1109/FUZZ-IEEE.2018.8491482

Continuous reinforcement operator applied to resilience in disaster rescue networks. / Jassbi, Javad J.; Ribeiro, Rita A.; Camarinha-Matos, Luis M. et al.
2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Vol. 2018-July Institute of Electrical and Electronics Engineers (IEEE), 2018. 8491482.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Gomes, Maria Isabel

N1 - info:eu-repo/grantAgreement/FCT/5876/147324/PT# info:eu-repo/grantAgreement/FCT/5876/147204/PT# This work was partially funded by FCT Strategic Program UID/EEA/00066/2013, project PEST of UNINOVA and also by the Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) through theproject UID/MAT/00297/2013 (Centro de Matemática e Aplicações).

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AB - Resilience measurement can be viewed as a multicriteria hierarchical decision making problem since calculating the final level of resilience involves measuring different criteria, at several hierarchical levels, and then merging the information together. In this paper, a resilience model for disaster rescue networks is discussed with a full-reinforcement operator, denoted continuous reinforcement operator. This approach is tested with different levels of reinforcement and the results are compared with those from a Fuzzy Inference System. The proposed approach offers interesting features to support balanced development of disaster rescue networks and facilitates managerial decisions by imposing standards for criteria to penalize or reward the information fusion process.

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ER -

Continuous reinforcement operator applied to resilience in disaster rescue networks

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