A Multiple-Criteria Decision-Making Method Based on D Numbers and Belief Entropy
International Journal of Fuzzy Systems, ISSN: 2199-3211, Vol: 21, Issue: 4, Page: 1144-1153
2019
- 109Citations
- 38Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Multiple-criteria decision-making (MCDM) is an important branch of operations research which judges multiple criteria under decision-making environments. In the process of handling MCDM problems, because of the subjective judgment of human beings, it unavoidably involves a variety of uncertainties, like imprecision, fuzziness and incompleteness. The D numbers, as a reliable and effective expression of uncertain information, has a good performance to handle these types of uncertainties. However, there still are some spaces to be further researched. Therefore, a novel belief entropy-based method with regard to D numbers is proposed for MCDM problems. Finally, an application in the MCDM problem is illustrated to reveal the efficiency of the proposed method.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85065905814&origin=inward; http://dx.doi.org/10.1007/s40815-019-00620-2; http://link.springer.com/10.1007/s40815-019-00620-2; http://link.springer.com/content/pdf/10.1007/s40815-019-00620-2.pdf; http://link.springer.com/article/10.1007/s40815-019-00620-2/fulltext.html; https://dx.doi.org/10.1007/s40815-019-00620-2; https://link.springer.com/article/10.1007/s40815-019-00620-2
Springer Science and Business Media LLC
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