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

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

2 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Toimittajat	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Kustantaja	Springer
Sivut	808-815
Sivumäärä	8
ISBN (painettu)	978-3-031-39773-8
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-031-39774-5_88
Tila	Julkaistu - 2023
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Intelligent and Fuzzy Systems - Istanbul, Turkki Kesto: 22 elok. 2023 → 24 elok. 2023 Konferenssinumero: 5

Julkaisusarja

Nimi	Lecture Notes in Networks and Systems
Vuosikerta	758 LNNS
ISSN (painettu)	2367-3370
ISSN (elektroninen)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems
Lyhennettä	INFUS
Maa/Alue	Turkki
Kaupunki	Istanbul
Ajanjakso	22/08/2023 → 24/08/2023

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

Pääsy asiakirjaan

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

Muut tiedostot ja linkit

Linkki julkaisuun Scopuksessa

Siteeraa tätä

Zarei, E., Yazdi, M., Roggow, B. J., & BahooToroody, A. (2023). An Intelligent Fuzzy Functional Resonance Analysis Model on System Safety and Human Factors. teoksessa C. Kahraman, I. U. Sari, B. Oztaysi, S. Cevik Onar, S. Cebi, & A. Ç. Tolga (Toimittajat), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (Sivut 808-815). (Lecture Notes in Networks and Systems; Vuosikerta 758 LNNS). Springer. 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. Toimittaja / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer, 2023. Sivut 808-815 (Lecture Notes in Networks and Systems).

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title = "An Intelligent Fuzzy Functional Resonance Analysis Model on System Safety and Human Factors",

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, Risk Analysis, Soft Computing",

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

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS ; Conference date: 22-08-2023 Through 24-08-2023",

year = "2023",

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

language = "English",

isbn = "978-3-031-39773-8",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer",

pages = "808--815",

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

booktitle = "Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference",

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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. julkaisussa C Kahraman, IU Sari, B Oztaysi, S Cevik Onar, S Cebi & AÇ Tolga (toim), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, Vuosikerta 758 LNNS, Springer, Sivut 808-815, International Conference on Intelligent and Fuzzy Systems, Istanbul, Turkki, 22/08/2023. 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. toim. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer, 2023. s. 808-815 (Lecture Notes in Networks and Systems; Vuosikerta 758 LNNS).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

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

N1 - Conference code: 5

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 - Risk Analysis

KW - Soft Computing

UR - http://www.scopus.com/inward/record.url?scp=85172013081&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-39774-5_88

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

M3 - Conference article in proceedings

AN - SCOPUS:85172013081

SN - 978-3-031-39773-8

T3 - Lecture Notes in Networks and Systems

SP - 808

EP - 815

BT - Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference

A2 - Kahraman, Cengiz

A2 - Sari, Irem Ucal

A2 - Oztaysi, Basar

A2 - Cevik Onar, Sezi

A2 - Cebi, Selcuk

A2 - Tolga, A. Çağrı

PB - Springer

T2 - International Conference on Intelligent and Fuzzy Systems

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. julkaisussa Kahraman C, Sari IU, Oztaysi B, Cevik Onar S, Cebi S, Tolga AÇ, toimittajat, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer. 2023. s. 808-815. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-39774-5_88