Management and Production Engineering Review > 2022 > Vol. 13, No. 3 > 94--101
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journal ISSN : | 2080-8208 |
journal e-ISSN : | 2082-1344 |
DOI | 10.24425/mper.2022.142386 |
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Bibliography
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Ahn S., Chettupuzha A.J., Ekyalimpa R., Hague S., AbouRizk S.M., and Stylios C.D. (2015), Fuzzy Cognitive Maps as a tool for modeling construction labor productivity, Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), pp. 1–7, IEEE. DOI: 10.1109/NAFIPSWConSC.2015.7284150.
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Al-Gunaid M.A., Salygina I.I., Shcherbakov M.V., Trubitsin V.N., and Groumpos P.P. (2021), Forecasting potential yields under uncertainty using fuzzy cognitive maps, Agriculture & Food Security, No. 1, Vol. 10, pp. 1–10. DOI: 10.1186/s40066-021-00314-9.
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Alibage A.A. (2020), Achieving High Reliability Organizations Using Fuzzy Cognitive Maps-The Case of Offshore Oil and Gas (Doctoral dissertation, Portland State University).