A FUZZY EXPERT SYSTEM AND GENETIC ALGORITHMS TO SCORE THE SAFETY MANAGEMENT PERFORMANCE IN CONSTRUCTION SITES OF IRAN: CONSIDERING SAFETY CLIMATE
Construction is a dangerous and risky industry with a high accident rate. Safety, therefore, is deemed to be an important issue, and various agencies endeavor to control accidents...
Gespeichert in:
| Veröffentlicht in: | مهندسی عمران شریف 2016-02, Vol.31.2 (4.1), p.31-39 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | per |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Zusammenfassung: | Construction is a dangerous and risky industry with a high accident rate. Safety, therefore, is deemed to be an important issue, and various agencies endeavor to control accidents through different approaches. Contractors procure worker compensation insurance to transfer these risks to insurance companies, but, as the safety management performance decreases, the risk of insuring this site for the insurance companies increases. Therefore, giving a score to the safety management performance in a construction site will help insurance companies to quote optimal premiums. If a contractors real-time safety management system is robust, the contractor will get a cost-effective insurance cover, which will enable the contractor to compete better in tenders. Those contractors who do not have robust safety management systems in place will be penalized by higher premiums. Meanwhile, this approach will automatically set risky contractors aside and motivate contractors to invest in safety measures in their organizations. In this research, by considering the safety climate, personal experience factors, studying the literature and consulting with experts, the main factors effecting safety in the construction sites of Iran were recognized. Since all of these factors are linguistics, a fuzzy expert system was proposed for scoring their safety management performance. The parameters of the designed expert system, including Yagers t-norm, Yagers s-norm, Yagers complement, Yagers i |
|---|---|
| ISSN: | 2676-4768 2676-4776 |