Article ID: | iaor19901141 |
Country: | Japan |
Volume: | 2 |
Issue: | 5 |
Start Page Number: | 166 |
End Page Number: | 174 |
Publication Date: | May 1989 |
Journal: | Transactions of the Institute of Systems, Control and Information Engineers |
Authors: | Nakamori Yoshiteru, Kainuma Mikiko |
Keywords: | statistics: inference |
In model building for urban environment, the difficulty of structure identification and the lack of homogeneity in data is often encountered. To cope with these problems, the authors are developing a modeling support system to utilize objective information and subjective knowledge effectively. In this paper they propose a fuzzy modeling technique with a visual and stepwise clustering method, and a fuzzy simulation technique for reasonable scenario input and interpretation of the model behavior. The authors present an application of the proposed techniques to an urban environmental problem. [In Japanese.]