In recent time, road traffic accidents are increased day by due to incremental growth in number of vehicles. Traffic also the crucial and important issue for achieving sustainable transportation development. One tasks is reduce design assessment policy. Many researchers consider accident developed prediction models measuring severity accidents. But accuracy one major issues. this work, an attem...

This paper models a decision support system to predict the occurance of suicide attack in a given collection of cities. The system comprises two parts. First part analyzes and identifies the factors which affect the prediction. Admitting incomplete information and use of linguistic terms by experts, as two characteristic features of this peculiar prediction problem we exploit the Theory of Fuzz...

Traffic accidents are one of the most important concerns world, since they result in numerous casualties, injuries, and fatalities each year, as well significant economic losses. There many factors that responsible for causing road accidents. If these can be better understood predicted, it might possible to take measures mitigate damages its severity. The purpose this work is identify using acc...

Gas accident has become the main contradiction which constrains the safety production of coal mine. It is one of the import issues in the field of coal mine safety to identify and analyze the dangerous factors that lead gas accidents, and establish an effective early-warming support system of gas in coal mine at present. In view of the characteristics of coal mine gas disaster, a high efficient...

A software accident is an unforseen outcome that arises from a failure of a software project or software product. Death, severe injury or severe financial loss, could arise from such a failure. This paper asserts that there is not yet a good accident investigation model with which to investigate software accidents. Accident models from other fields are examined to determine their suitability fo...