Consider a data holder, such as a hospital or a bank, that has a privately held collection of person-specific, field structured data. Suppose the data holder wants to share a version of the data with researchers. How can a data holder release a version of its private data with scientific guarantees that the individuals who…
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems Template
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About the International Journal of Uncertainty Fuzziness and Knowledge-Based Systems format
International Journal of Uncertainty Fuzziness and Knowledge-Based Systems is a peer-reviewed journal published by World Scientific, covering Multi-Criteria Decision Making, Fuzzy Logic and Control Systems, Fuzzy Systems and Optimization.
| Publisher | World Scientific |
|---|---|
| Reference style | Superscript numbered (World Scientific) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 12, 45–58 (2023).
Formats any DOI in the closest standard style — International Journal of Uncertainty Fuzziness and Knowledge-Based Systems has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Multi-Criteria Decision Making Fuzzy Logic and Control Systems Fuzzy Systems and Optimization Rough Sets and Fuzzy Logic Neural Networks and Applications |
| ISSN | 0218-4885 |
| Citation impact (2-yr) | 1.03 |
| h-index | 72 |
| i10-index | 708 |
| Total citations | 47,259 |
| Top institutions publishing here | The University of Texas at El Paso |
| Journal website | www.worldscinet.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in International Journal of Uncertainty Fuzziness and Knowledge-Based Systems per year
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Most-cited papers in International Journal of Uncertainty Fuzziness and Knowledge-Based Systems
Recurrent nets are in principle capable to store past inputs to produce the currently desired output. Because of this property recurrent nets are used in time series prediction and process control. Practical applications involve temporal dependencies spanning many time steps, e.g. between relevant inputs and desired outputs. In this case, however, gradient based learning methods…
Often a data holder, such as a hospital or bank, needs to share person-specific records in such a way that the identities of the individuals who are the subjects of the data cannot be determined. One way to achieve this is to have the released records adhere to k-anonymity, which means each released record has…
We first describe a metric for uncertain probabilities called opinion, and subsequently a set of logical operators that can be used for logical reasoning with uncertain propositions. This framework which is called subjective logic uses elements from the Dempster-Shafer belief theory and we show that it is compatible with binary logic and probability calculus.
In this paper, we present a statistical criterion for accepting/rejecting the pairwise reciprocal comparison matrices in the analytic hierarchy process. We have studied the consistency in random matrices of different sizes. We do not agree with the traditional criterion of accepting matrices due to their inflexibility and because it is too restrictive when the size…