An intelligent fuzzy functional resonance analysis model on system safety and human factors

Esmaeil Zarei; Mohammad Yazdi; Brian J. Roggow; Ahmad BahooToroody

doi:10.1007/978-3-031-39774-5_88

An intelligent fuzzy functional resonance analysis model on system safety and human factors

Esmaeil Zarei^*, Mohammad Yazdi, Brian J. Roggow, Ahmad BahooToroody

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

System safety and human factors analysis are pivotal in critical operations from healthcare to aviation and aerospace. Conventional safety and human factors models cannot model emergent risks that can seriously threaten organizational life. To this end, this research has developed a novel Interval-Valued Spherical Fuzzy Sets (IVSFS)-Functional Resonance Analysis (IVSFS-FRA) model to analyze system safety and human factors in critical socio-technical systems. The proposed model deals with critical concerns in knowledge acquisition and captures emerging risks in critical operations. An actual industrial maintenance cycle has been investigated to demonstrate the model's capabilities and effectiveness. The model can recognize evolving and emerging critical resonances, address uncertainty, and reveal tight couplings in complex systems. Accordingly, the proposed model can prevent system disruption and enhance system resilience by allocating timely and cost-effective safety countermeasures.

Original language	English
Title of host publication	Intelligent and fuzzy systems
Subtitle of host publication	Intelligence and Sustainable Future proceedings of the INFUS 2023 Conference, volume 1
Editors	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Selcuk Cebi, Sezi Cevik Onar, A. Çağrı Tolga
Place of Publication	Cham
Publisher	Springer, Springer Nature
Pages	808-815
Number of pages	8
ISBN (Electronic)	9783031397745
ISBN (Print)	9783031397738
DOIs	https://doi.org/10.1007/978-3-031-39774-5_88
Publication status	Published - 2023
Externally published	Yes
Event	International Conference on Intelligent and Fuzzy Systems (5th : 2023) - Istanbul, Turkey Duration: 22 Aug 2023 → 24 Aug 2023

Conference

Conference	International Conference on Intelligent and Fuzzy Systems (5th : 2023)
Abbreviated title	INFUS 2023
Country/Territory	Turkey
City	Istanbul
Period	22/08/23 → 24/08/23

Keywords

Intelligence systems
Soft Computing
Risk Analysis

Access to Document

10.1007/978-3-031-39774-5_88

Cite this

Zarei, E., Yazdi, M., Roggow, B. J., & BahooToroody, A. (2023). An intelligent fuzzy functional resonance analysis model on system safety and human factors. In C. Kahraman, I. U. Sari, B. Oztaysi, S. Cebi, S. Cevik Onar, & A. Ç. Tolga (Eds.), Intelligent and fuzzy systems: Intelligence and Sustainable Future proceedings of the INFUS 2023 Conference, volume 1 (pp. 808-815). Springer, Springer Nature. https://doi.org/10.1007/978-3-031-39774-5_88

Zarei, Esmaeil ; Yazdi, Mohammad ; Roggow, Brian J. et al. / An intelligent fuzzy functional resonance analysis model on system safety and human factors. Intelligent and fuzzy systems: Intelligence and Sustainable Future proceedings of the INFUS 2023 Conference, volume 1. editor / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Selcuk Cebi ; Sezi Cevik Onar ; A. Çağrı Tolga. Cham : Springer, Springer Nature, 2023. pp. 808-815

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abstract = "System safety and human factors analysis are pivotal in critical operations from healthcare to aviation and aerospace. Conventional safety and human factors models cannot model emergent risks that can seriously threaten organizational life. To this end, this research has developed a novel Interval-Valued Spherical Fuzzy Sets (IVSFS)-Functional Resonance Analysis (IVSFS-FRA) model to analyze system safety and human factors in critical socio-technical systems. The proposed model deals with critical concerns in knowledge acquisition and captures emerging risks in critical operations. An actual industrial maintenance cycle has been investigated to demonstrate the model's capabilities and effectiveness. The model can recognize evolving and emerging critical resonances, address uncertainty, and reveal tight couplings in complex systems. Accordingly, the proposed model can prevent system disruption and enhance system resilience by allocating timely and cost-effective safety countermeasures.",

keywords = "Intelligence systems, Soft Computing, Risk Analysis",

author = "Esmaeil Zarei and Mohammad Yazdi and Roggow, {Brian J.} and Ahmad BahooToroody",

year = "2023",

doi = "10.1007/978-3-031-39774-5_88",

language = "English",

isbn = "9783031397738",

pages = "808--815",

editor = "Cengiz Kahraman and Sari, {Irem Ucal} and Basar Oztaysi and Selcuk Cebi and {Cevik Onar}, Sezi and Tolga, {A. {\c C}ağrı}",

booktitle = "Intelligent and fuzzy systems",

publisher = "Springer, Springer Nature",

address = "United States",

note = "International Conference on Intelligent and Fuzzy Systems (5th : 2023), INFUS 2023 ; Conference date: 22-08-2023 Through 24-08-2023",

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Zarei, E, Yazdi, M, Roggow, BJ & BahooToroody, A 2023, An intelligent fuzzy functional resonance analysis model on system safety and human factors. in C Kahraman, IU Sari, B Oztaysi, S Cebi, S Cevik Onar & AÇ Tolga (eds), Intelligent and fuzzy systems: Intelligence and Sustainable Future proceedings of the INFUS 2023 Conference, volume 1. Springer, Springer Nature, Cham, pp. 808-815, International Conference on Intelligent and Fuzzy Systems (5th : 2023), Istanbul, Turkey, 22/08/23. https://doi.org/10.1007/978-3-031-39774-5_88

An intelligent fuzzy functional resonance analysis model on system safety and human factors. / Zarei, Esmaeil; Yazdi, Mohammad; Roggow, Brian J. et al.
Intelligent and fuzzy systems: Intelligence and Sustainable Future proceedings of the INFUS 2023 Conference, volume 1. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Selcuk Cebi; Sezi Cevik Onar; A. Çağrı Tolga. Cham: Springer, Springer Nature, 2023. p. 808-815.

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

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T1 - An intelligent fuzzy functional resonance analysis model on system safety and human factors

AU - Zarei, Esmaeil

AU - Yazdi, Mohammad

AU - Roggow, Brian J.

AU - BahooToroody, Ahmad

PY - 2023

Y1 - 2023

N2 - System safety and human factors analysis are pivotal in critical operations from healthcare to aviation and aerospace. Conventional safety and human factors models cannot model emergent risks that can seriously threaten organizational life. To this end, this research has developed a novel Interval-Valued Spherical Fuzzy Sets (IVSFS)-Functional Resonance Analysis (IVSFS-FRA) model to analyze system safety and human factors in critical socio-technical systems. The proposed model deals with critical concerns in knowledge acquisition and captures emerging risks in critical operations. An actual industrial maintenance cycle has been investigated to demonstrate the model's capabilities and effectiveness. The model can recognize evolving and emerging critical resonances, address uncertainty, and reveal tight couplings in complex systems. Accordingly, the proposed model can prevent system disruption and enhance system resilience by allocating timely and cost-effective safety countermeasures.

AB - System safety and human factors analysis are pivotal in critical operations from healthcare to aviation and aerospace. Conventional safety and human factors models cannot model emergent risks that can seriously threaten organizational life. To this end, this research has developed a novel Interval-Valued Spherical Fuzzy Sets (IVSFS)-Functional Resonance Analysis (IVSFS-FRA) model to analyze system safety and human factors in critical socio-technical systems. The proposed model deals with critical concerns in knowledge acquisition and captures emerging risks in critical operations. An actual industrial maintenance cycle has been investigated to demonstrate the model's capabilities and effectiveness. The model can recognize evolving and emerging critical resonances, address uncertainty, and reveal tight couplings in complex systems. Accordingly, the proposed model can prevent system disruption and enhance system resilience by allocating timely and cost-effective safety countermeasures.

KW - Intelligence systems

KW - Soft Computing

KW - Risk Analysis

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DO - 10.1007/978-3-031-39774-5_88

M3 - Conference proceeding contribution

SN - 9783031397738

SP - 808

EP - 815

BT - Intelligent and fuzzy systems

A2 - Kahraman, Cengiz

A2 - Sari, Irem Ucal

A2 - Oztaysi, Basar

A2 - Cebi, Selcuk

A2 - Cevik Onar, Sezi

A2 - Tolga, A. Çağrı

PB - Springer, Springer Nature

CY - Cham

T2 - International Conference on Intelligent and Fuzzy Systems (5th : 2023)

Y2 - 22 August 2023 through 24 August 2023

ER -

Zarei E, Yazdi M, Roggow BJ, BahooToroody A. An intelligent fuzzy functional resonance analysis model on system safety and human factors. In Kahraman C, Sari IU, Oztaysi B, Cebi S, Cevik Onar S, Tolga AÇ, editors, Intelligent and fuzzy systems: Intelligence and Sustainable Future proceedings of the INFUS 2023 Conference, volume 1. Cham: Springer, Springer Nature. 2023. p. 808-815 doi: 10.1007/978-3-031-39774-5_88