Article ID: | iaor20022839 |
Country: | United Kingdom |
Volume: | 20 |
Issue: | 4 |
Start Page Number: | 303 |
End Page Number: | 313 |
Publication Date: | May 2002 |
Journal: | International Journal of Project Management |
Authors: | Tam C.M., Tong Thomas K.L., Chiu Gerald C.W., Fung Ivan W.H. |
Keywords: | artificial intelligence: decision support |
Because of the poor safety records, there have been a number of safety improvement measures developed in the construction industry of Hong Kong. However, not all of these programs are cost, time and resources effective. If the degree of effectiveness of these programs can be compared and analyzed, it helps management focus their effort and better deploy resources. This study tries to evaluate the safety management systems and prioritize these measures with the consideration of various decision criteria. The non-structural fuzzy decision support system (NSFDSS) is applied to facilitate the decision making process for these multi-objective problems. Modified NSFDSS is presented that is suitable for the appraisal of complex construction problems, which allows assessment based on a pair-wise comparison of alternatives using semantic operators, even under the condition that insufficient precise information is available.