The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system
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Citations
Cites
Atanassov, K. T. (1986) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(86)80034-3 · Cited by 16,465
An experiment in linguistic synthesis with a fuzzy logic controller
Mamdani, E. H., & Assilian, S. (1975) · International Journal of Man-Machine Studies · doi:10.1016/s0020-7373(75)80002-2 · Cited by 5,785
An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller
MAMDANI, E. H., & ASSILIAN, S. (1999) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1973.0303 · Cited by 5,603
Yager, R. R. (2013) · 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS) · doi:10.1109/ifsa-nafips.2013.6608375 · Cited by 2,703
Extension of TOPSIS to Multiple Criteria Decision Making with Pythagorean Fuzzy Sets
Zhang, X., & Xu, Z. (2014) · International Journal of Intelligent Systems · doi:10.1002/int.21676 · Cited by 1,506
Failure Mode and Effect Analysis: FMEA From Theory to Execution
Schneider, H. (1996) · Technometrics · doi:10.1080/00401706.1996.10484424 · Cited by 1,493
Industrial applications of fuzzy control
菅野, 道. (1985) · Elsevier eBooks · Cited by 1,449
Yager, R. R., & Abbasov, A. M. (2013) · International Journal of Intelligent Systems · doi:10.1002/int.21584 · Cited by 1,430
Industrial Applications of Fuzzy Control
Sugeno, M. (1985) · CERN Document Server (European Organization for Nuclear Research) · Cited by 1,411
Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP
Kutlu, A. C., & Ekmekçioğlu, M. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.06.044 · Cited by 594
Cited by
Govindan, K., Mina, H., & Alavi, B. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101967 · Cited by 641
Sindhwani, R., Afridi, S., Kumar, A., Banaitis, A., Luthra, S., & Singh, P. L. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.101887 · Cited by 282
Pythagorean fuzzy VIKOR-based approach for safety risk assessment in mine industry
Gul, M., Ak, M. F., & Guneri, A. F. (2019) · Journal of Safety Research · doi:10.1016/j.jsr.2019.03.005 · Cited by 180
Aleksić, A., Tadić, D., Komatina, N., & Nestić, S. (2025) · Mathematics · doi:10.3390/math13132216 · Cited by 11
Metadata
- Authors
- Ilbahar, E., Karaşan, A., Cebi, S., & Kahraman, C.
- Venue
- Safety Science
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 103
- Pages
- 124-136
- ISSN
- 0925-7535 (ISSN-L)
- OpenAlex
- W2768392855
- Cited by
- 573
- References
- 38
- FWCI
- 33.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Ilbahar, E., Karaşan, A., Cebi, S., & Kahraman, C. (2018). A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety Science. https://doi.org/10.1016/j.ssci.2017.10.025
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.