Title :
Fuzzy diagnosis for regional socioeconomic simulation system
Author :
Li, Yan ; Suzuki, Yutaka
Author_Institution :
Dept. of Inf. Syst. Eng., Osaka Univ., Japan
Abstract :
This paper describes an explanation system for the simulation results of the regional socio-economic simulation model (referred to as OURS model). The explanation procedure is divided into the following three phases; (1) retrieve the data with specified characteristics of changes by directly using the human´s fuzzy language; (2) analyse the cause of changes, based on the quantitative estimating formulas, the qualitative relation and the various kinds of exogenous parameters of the model, and calculate its contribution rate; and (3) explain the causes, according to the knowledge base including the model structure and the experience of the experts, define flexibly and generate the explanation statement for the cause of changes. Through the application of this system to the representative examples, it has been confirmed that the simulation results can be explained easily
Keywords :
digital simulation; fuzzy set theory; knowledge based systems; simulation; social sciences computing; socio-economic effects; OURS model; cause of change; fuzzy diagnosis; fuzzy set theory; knowledge based system; model structure; qualitative relation; quantitative estimating formulas; regional socioeconomic simulation; regional statistical database; Analytical models; Character generation; Fuzzy sets; Fuzzy systems; Information retrieval; Information systems; Modeling; Phase estimation; State estimation; Systems engineering and theory;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400087
