定性仿真技术及应用  

Technology of Qualitative Simulation and Its Application

作　　者：邵晨曦[1] 白方周[1] 

机构地区：[1]中国科学技术大学计算机科学技术系,合肥230027

出　　处：《系统仿真学报》2004年第2期202-209,共8页Journal of System Simulation

基　　金：国家自然科学基金(69974038);2004年安徽省科技计划资助

摘　　要：定性仿真以非数字化手段处理信息输入、建模、行为分析和结果输出等仿真环节,通过定性建模推导系统的定性行为描述。定性仿真是处理不完备信息的有效方法。定性仿真方法产生了多种流派,如模糊仿真法、归纳推理法、非因果关系推理方法、基于因果关系的推理方法、基于图表的推理方法、基于数据的结构化建模方法、基于定性空间的推理方法等。近年来,定性仿真已应用到故障诊断、生态和环境学、机械制造业和工业系统、医学研究、混杂非线性系统、教育系统、人类社会与经济、人工智能等领域中。最后从整体上简要评述了定性仿真的发展。Qualitative Simulation (QS), which is a non-numeric measure, is employed to process inputting information, modeling, behaviors analysis and outputting results. The description of qualitative behaviors can be generated by qualitative modeling. QS makes it feasible to deal with incomplete information effectively. There are many genres about QS technology, such as fuzzy QS, reduction reasoning, non-causal reasoning, causal-based reasoning, diagram-based reasoning, structural data-based modeling and qualitative space-based reasoning. Recently, QS technology has been applied to varieties of fields such as fault diagnosis, ecological and environment, mechanic manufacture and industrial system, medical research, hybrid nonlinear system, education system, community, economy and AI. At last, a brief comment on the development of QS is given.

关 键 词：定性仿真 定性建模 定性推理 定性仿真应用 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]