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- W3100911181 abstract "According to the problem of frequent occurrence of regional energy security exogenous source, an early warning model is put forward to predict the energy security exogenous source, which is combined case-based reasoning (CBR) with relative ranking entropy. Firstly, the case expression and case base are built. Then, in accordance with the data characteristics of regional energy security exogenous source, such as hybrid type and nonlinear, the case similarity on relative ranking entropy is defined with the basic principle of ranking entropy and TOPSIS methods. On the basis, an algorithm for relative ranking entropy CBR is designed by using nearest neighbor method. The most similar historical case is retrieved through the practical application on the target case of regional energy security exogenous source. The early warning level and treatment plan are determined, which are consistent with the real situation." @default.
- W3100911181 created "2020-11-23" @default.
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- W3100911181 date "2020-11-18" @default.
- W3100911181 modified "2023-10-17" @default.
- W3100911181 title "Early Warning of Regional Energy Security Exogenous Source Based on CBR with Relative Ranking Entropy" @default.
- W3100911181 cites W2058647823 @default.
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- W3100911181 doi "https://doi.org/10.1007/978-981-15-5887-0_33" @default.
- W3100911181 hasPublicationYear "2020" @default.
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