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Flood disaster refers to a short-term or continuous heavy rainfall, and forecasting flood disaster accurately is of great importance in human life. Therefore, in this paper, we present a novel intelligent multi-agent approach for flood disaster forecasting based on case based reasoning. Firstly, the proposed framework is constructed by three main modules, which are "Front end user computer",...
This paper aims to specify a Case-Based Reasoning strategy for correctly classifying, storing and preventing duplication efforts of electronic text material. Preservation of complete source documents for checking similarity between them pose a daunting amount of spatial and computational complexity to researchers in this area. The problem is partially solved by applying certain preprocessing steps...
Established rural new energy utilization decision making system structure based on analyzing and summarizing the relevant theory and technology of new energy in rural areas and the field investigation data, proposed an object-oriented representing of case of rural new energy utilization, Through analyzing the survey data of the typical energy use in rural areas, the typical rural new energy utilization...
This paper presents a new attribute significance measurement method based on the viewpoint of information theory of Fuzzy Rough Set. The method does not need to discretize continuous attributes included in cases, which can effectively reduce information loss, and it is suitable for the cases which contain both discrete and continuous attributes. Then it proposes a heuristic algorithm based on the...
This paper studies the features of personal recommender system and personalized recommendation case generation according to the method of case-based reasoning(CBR). And a lot of design thought and methods of the personal recommender case generation are discussed. Finally, the design methods of the personalized recommendation case generation are analyzed.
Case based reasoning (CBR) is very important task in data mining, but privacy information will be disclosed easily in CBR. This paper presents random locally linear embedding (LLE) on encrypted case based reasoning method. In order to be ensure the security of the CBR, the parameters nearest neighbor number k and embedded space dimension d of LLE algorithm are selected randomly. Further we embed the...
How to make scientific and effective emergency decisions is a research hotspot in academic circles at present. This paper applies case-based reasoning to emergency aid decision-making, which provides a method of scientific and effective aid decision-making for the emergency leaders. The two-layer case retrieving algorithm based on structural similarity degree and attribute similarity degree is designed,...
This paper focuses on the method of case-based reasoning and its application in emergency commanding and decision-making. Features of emergency cases are analyzed firstly, then the description and storage pattern of emergency cases is designed, following that, the retrieval algorithm, which is the kernel of CBR, is discussed in detail , then the process of case-based reasoning in emergency commanding...
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