Today’s society is a risk society, filled with challenges as well as opportunities. Frightened by catastrophic events, such as 9.11, SARS, Indian Ocean earthquake and tsunami, South Asia earthquake disaster, and bird flu, people increasingly regard risk and crisis as urgent issues. The term risk analysis has different interpretations among various environments. However, there is a growing acceptance that risk analysis involves the development of the probability distribution for the measure of effectiveness. Furthermore, the risk associated is generally either given as the probability of an unfavorable value for the measure of effectiveness or measured by the variance of measure of effectiveness. This special issue is devoted for the papers presented at the First International Conference on Risk Analysis and Crisis Response September 25–26, 2007, Shanghai, China. About 200 papers were presented at this conference and the extended papers of all were submitted after the conference for possible publication in this special issue of Stochastic Environmental Research and Risk Assessment. After a peer review using at least two referees for each paper, 12 papers included by this issue have been accepted. The financial supply chain is increasingly recognized as an area offering significant potential for generating bottomline improvements and creating competitive advantage. In the first paper, considering the stability of the financial supply chain, the coordination evaluation and fuzzy multiobjective evaluation model of insurers’ risk management are firstly studied by using large system theory and methods. The corresponding coordination evaluation index model is then established to evaluate, forecast and control the actuality and the future of risk coordination management, and to improve the durative development for a combination pension model. The evaluation standards of numerous insurers are established to constitute a set of vectors. By presenting a dimensional point to each insurer, the optimal or the worst insurer is decided. Finally, the distances of each insurer to the optimal or the worst insurer on the basis of the Euclidean distance are counted, and the insurers’ ordering according to the value of distances is sorted out. The second paper presents the morphogenetic system which projects the output samples of fuzzy set to the input samples of the fuzzy sets. In the projection operator the author computes the best rules for the inferential or reasoning process. Modern uncertainty theories (fuzzy logic, Information diffusion) provide a calculus to obtain relationship by observation pattern. With the relationship obtained, the risk in different situation can be estimated. It is known that information structure is essential to forecast the future risk in different situations; the main difficulty in the forecast the risk is to extract rules from a non-coherent set of data. Fuzzy sets and fuzzy rules are essential to detect the uncertainty but are not sufficient to define in an optimal way the rules that describe the relationship among fuzzy variables. Fire is a major risk in the event of large stadium due to fire coincidence with smoke flow and evacuation path. In the next paper, as a part of an effort to improve the life safety in large stadium, the simulation technology combined with fire spread and evacuation is developed. Besides that, in order to decrease the rate of people death in the large stadium fire, the interface between fire and the evacuation people must be designed in the simulation model, based on the influence laws to human behavior by smoke temperature, CO concentration and extinction coefficient in fire condition. Therefore, the investigation of effect of fire spread on life safety is needed. C. Kahraman (&) Department of Industrial Engineering, Istanbul Technical University, 34367 Macka Istanbul, Turkey e-mail: kahramanc@itu.edu.tr