A Study of Fuzzy Set Theory for Streamflow Forecast
Resource
農業工程學報 36 (4): 1-12
Journal
農業工程學報
Journal Issue
4
Pages
1-12
Date Issued
1990-12
Date
1990-12
Author(s)
Hsu, Kuo-Lin
Abstract
Classical set theory is governed by a logic that permits a proposition to possess one of only two values: “true” or “false”. This logic does not accord well with the need to represent vague concepts. The key idea in fuzzy set theory is that an element has a degree of membership in a fuzzy set. Thus a proposition need not be simply true or false, but may be partly true to any degree. Consequently, fuzzy reasoning is specifically designed to deal with the inexactness (or fuzziness) that is present in the knowledge used by human experts. The concept of fuzzy logic will assist expert system builders greatly in the handling of imprecise and inexact data as well as linguistic imprecision. In water resource planning, the grades of weather or streamflow conditions are estimated or classified by mathematical or statistical methods. However, there is not strict demarcation line for the classification of a forecasting object. Hence the concepts involve fuzziness. If fuzzy concept is used to the classification of forecasting are designed correspondingly, we can make a stream forecast of classification by the method of fuzzy mathematics. The monthly streamflow of the Kaoi station which is a upper station of the Shih-Men reservoir is used as a case study. The result shows that method can more precisely represent the practical case of the streamflow forecast.
Subjects
河川流量
模糊集理論
Type
journal article
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