The Practical Application of Fuzzy Information Analysis in Flood Forecasting
27 May 2007-pp 1056-1061
TL;DR: The fuzzy information analysis method is used to forecast the peak discharge, with the result in accordance with the actual event, and can be seen as a new and effective method of flood prediction and forecasting.
Abstract: The relationship between the peak stage and peak discharge is influenced by many factors in the flood system. Therefore, different peak discharges may occur under the same peak stage, while the same peak discharge may also occur under the different peak stages. If the peak stage set with similar peak discharges is taken as the fuzzy subset in the stage universe, then the membership function of these fuzzy subsets can be hypothesized to manifest a normal distribution graph. According to a k and b k , the mid-value of the universe element of the peak stage can be substituted into the normal distribution graph, and the fuzzy relational matrix can be obtained. Thus, the peak discharge can be calculated according to the peak stage using the fuzzy deduction theory. The relationship between the peak stage and peak discharge as Q = f(H) has an important impact on the determination of the peak discharge during the high-water level period in the flood forecast. In this paper, the fuzzy information analysis method is used to forecast the peak discharge, with the result in accordance with the actual event. This method can be seen as a new and effective method of flood prediction and forecasting.
References
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TL;DR: A new approach is presented to make use of both the decision makers' social fuzzy preference relation on alternatives and decision matrix to form an optimization model that can be used to determine the attribute weights and rank the alternatives.
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TL;DR: A relevance feedback process for extended Boolean (fuzzy) information retrieval systems based on a hybrid evolutionary algorithm combining simulated annealing and genetic programming components is introduced.
Abstract: Relevance feedback techniques have demonstrated to be a powerful means to improve the results obtained when a user submits a query to an information retrieval system as the world wide web search engines. These kinds of techniques modify the user original query taking into account the relevance judgements provided by him on the retrieved documents, making it more similar to those he judged as relevant. This way, the new generated query permits to get new relevant documents thus improving the retrieval process by increasing recall. However, although powerful relevance feedback techniques have been developed for the vector space information retrieval model and some of them have been translated to the classical Boolean model, there is a lack of these tools in more advanced and powerful information retrieval models such as the fuzzy one. In this contribution we introduce a relevance feedback process for extended Boolean (fuzzy) information retrieval systems based on a hybrid evolutionary algorithm combining simulated annealing and genetic programming components. The performance of the proposed technique will be compared with the only previous existing approach to perform this task, Kraft et al.'s method, showing how our proposal outperforms the latter in terms of accuracy and sometimes also in time consumption. Moreover, it will be showed how the adaptation of the retrieval threshold by the relevance feedback mechanism allows the system effectiveness to be increased.
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Journal Article•
TL;DR: In this article, three far correlation factors resulting in three large floods along the Yangtze River in the 20th century are analyzed as follws: (1) sunspot activity, (2) EL Nino event, (3) drastic earthquake in the south of the Tibet Plateau.
Abstract: Three far correlation factors resulting in three large floods along the Yangtze River in the 20th century are analyzed as follws: (1) sunspot activity, (2) EL Nino event, (3) drastic earthquake in the south of the Tibet Plateau According to the basic facts between the large flood along the Yangtze River and the far correlation factor, the statistical law of the large flood along the Yangtze River is discussed It is pointed out that when the arising times of three factors reduplicate, the large flood will probably arise along the Yangtze River, which is of important indication function for the over long-term forecast of the large flood along the Yangtze River
2 citations