DoctorateOpen Access

Risk assessment for the electrical construction work industry with analytical hierarchy process, analytical network process and fuzzy logic approach: A company case

Is this your thesis?

This record came from a bulk archive import. If it’s yours, link it to your profile.

2023
0 views
0 downloads

Abstract (EN)

In this study, a company operating in the electricity construction sector; Hazard categories were tried to be prioritized with Analytical Hierarchy Process, Analytical Network Process and Fuzzy Fine-Kinney methods. SuperDesicion package program was used in Analytical Hierarchy Process and Analytical Network Process methods, Fuzzy Logic was used for Fuzzy Fine-Kinney method. First, the Analytical Hierarchy Process and Analytical Network Process results were compared with each other, then the data obtained from the classical Fine-Kinney method and the data obtained from the fuzzy Fine-Kinney method were compared. Finally, all of these methods were evaluated together, and a recommendation was made to the decision maker about which of the existing hazards should be given priority. When all the method results were compared with each other, it was concluded that the fuzzy Fine-Kinney method produced the most appropriate results and it was concluded that the hazards in the Electricity category should be dealt with and eliminated. Keywords: Occupational Health And Safety, Analytical Hierarchy Process, Analytical Network Process, Fuzzy Logic, Fuzzy Fine-Kinney, Risk Assessment.

Author

Umut Ergün

How to Cite

Umut Ergün (Doctorate thesis). Risk assessment for the electrical construction work industry with analytical hierarchy process, analytical network process and fuzzy logic approach: A company case, 2023, Tarsus University.

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from Tarsus University