The Morphogenetic Systems in Risk Analysis
Modem uncertainty theories (fuzzy logic, Information diffution) provide a calculus to obtain relationship by observation pattern. With the relationship obtained we can estimate the risk in different situation. We know that information strucuture is essential to forecast the future risk in different situations, The main difficulty in the forecast the risk is to extract roles from a non coherent set of data. Fuszzy 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. In this work we present the morphogenetic system which project the output samples of fuzzy set to the input samples of the fuzzy sets. In the projection operator we compute the best rules for the inferential or reasoning process.
Risk analysis morpho-genetic system tensor calculus prototype fields fuzzy rules
Germano Resconi
Catholic University, via Trieste 17 Brescia, Italy
国际会议
The 1st International Conference on Risk Analysis and Crisis Response(首届风险分析与危机反应国际学术研讨会)
上海
英文
161-165
2007-09-25（万方平台首次上网日期，不代表论文的发表时间）