Determining weight of risk assessment of fire hazard based on rough set theory
Sun Bin · Journal of Liaoning Technical University · 2008
Aiming at the information about the attribute weights in unknown completely and the attribute values relied on expert experience,the author puts forward an weight allocation method based on importance of attribute in multi-attribute decision-making.This method discusses how to ascertain the weight allocation by applying the attribute importance based on the relative positive region conception.Determining weight is translated into estimating significance of attributes among rough sets.A relation data model about risk assessment is established.Knowledge systems are built through making attribute value into eigenvalue.In the data analyzsis,the weight of a risk assessment model is computed by analyzing the support and significance of forecasting method for the predicted object.The proposed approach overcomes the subjectivity of traditional determination to weight,and makes risk assessment more objective,thus improving the precision of risk assessment for fire hazard.At last,an example is given to show the methods more effective and rational than before.