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

Safety Science

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

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Editors	Cengiz Kahraman, Irem Ucal Sari, Basar Oztaysi, Sezi Cevik Onar, Selcuk Cebi, A. Çağrı Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	808-815
Number of pages	8
ISBN (Print)	9783031397738
DOIs	https://doi.org/10.1007/978-3-031-39774-5_88
State	Published - 2023
Event	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference - Istanbul, Turkey Duration: Aug 22 2023 → Aug 24 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	758 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference
Country/Territory	Turkey
City	Istanbul
Period	8/22/23 → 8/24/23

ASJC Scopus Subject Areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Keywords

Intelligence systems
Risk Analysis
Soft Computing

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. Cevik Onar, S. Cebi, & A. Ç. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference (pp. 808-815). (Lecture Notes in Networks and Systems; Vol. 758 LNNS). Springer Science and Business Media Deutschland GmbH. 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. ed. / Cengiz Kahraman; Irem Ucal Sari; Basar Oztaysi; Sezi Cevik Onar; Selcuk Cebi; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. p. 808-815 (Lecture Notes in Networks and Systems; Vol. 758 LNNS).

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

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 Cevik Onar, S Cebi & AÇ Tolga (eds), Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Lecture Notes in Networks and Systems, vol. 758 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 808-815, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference, Istanbul, Turkey, 8/22/23. https://doi.org/10.1007/978-3-031-39774-5_88

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, Cevik Onar S, Cebi S, Tolga AÇ, editors, Intelligent and Fuzzy Systems - Intelligence and Sustainable Future Proceedings of the INFUS 2023 Conference. Springer Science and Business Media Deutschland GmbH. 2023. p. 808-815. (Lecture Notes in Networks and Systems). doi: 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. editor / Cengiz Kahraman ; Irem Ucal Sari ; Basar Oztaysi ; Sezi Cevik Onar ; Selcuk Cebi ; A. Çağrı Tolga. Springer Science and Business Media Deutschland GmbH, 2023. pp. 808-815 (Lecture Notes in Networks and Systems).

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