The Research Of Idss Based On Rough Set And Case-Based Reasoning

This article firstly discusses and investigates the principle, architecture construction, research situation and developing direction of IDSS (Intelligent Decision Support System). It also widely compares three main architectures of IDSS by themselves. CBR (Case Based Reasoning) is pushed out as problems exist in the study of IDSS. Then, it introduces the relative principle and main direction of research and developing methods, where relativity is deeply investigated. To emphasizes methods and treatment of knowledge operation, It also introduces the main conception and corresponding theory of RS (Rough Set), where RS is compared with other uncertain knowledge reasoning.By using these principles, the article raises some new practicing algorithms, such as analyzing case base by utilizing RS (data reduct etc.), index or retrieving by RS, discovering knowledge from case base, and domain knowledge using weight or weight extracting.Combining these theories and methods, the paper designs a project named "IDSS of preventing flooding in Anhui Province". Integrated technology mixed with RS, CBR & IDSS has exerted an impact on this project, as well as studying and analyzing some cases of RS theory used in CBR. To develop this project, we construct an integrated architecture and compounded technology, so that it can make a firm step to research IDSS.