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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jing Xin |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Fire Command, The Chinese People's Armed Police Force Academy, Langfang, China (Jing Xin) |
| Abstract | Optimization model of nuclear emergency decision-making proposal is discussed in nuclear accident. Optimizing alternative nuclear emergency proposals is a multi-objective decision-making system. On the basis of establishing a hierarchic structure, an optimization model is developed by introducing fuzzy entropy weight and TOPSIS. The indexes' combined weights are calculated by both the entropy method and the experts grading method, which could not only make full use of the inherent information of indexes adequately, but avoid subjectivity by experts effectively. The alternative proposals are ranked according to the closeness between every proposal and the ideal proposal, which solves the decision problem of uncertain and fuzzy indexes in the optimization index system and could provide the decision-making basis for commanders in the process of nuclear accident rescue. The applied case study shows that the optimization result is reasonable and scientific. |
| Starting Page | 904 |
| Ending Page | 907 |
| File Size | 250979 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424459315 |
| e-ISBN | 9781424459346 |
| DOI | 10.1109/FSKD.2010.5569114 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decontamination Decision making Fuzzy entropy weight Optimization model Entropy Proposals Indexes TOPSIS Optimization Nuclear emergency decision-making Accidents |
| Content Type | Text |
| Resource Type | Article |
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