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Transformation-Based Fuzzy Rule Interpolation With Mahalanobis Distance Measures Supported by Choquet Integral

Overview of attention for article published in IEEE Transactions on Fuzzy Systems, July 2022
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Title
Transformation-Based Fuzzy Rule Interpolation With Mahalanobis Distance Measures Supported by Choquet Integral
Published in
IEEE Transactions on Fuzzy Systems, July 2022
DOI 10.1109/tfuzz.2022.3194368
Authors

Mou Zhou, Changjing Shang, Guobin Li, Liang Shen, Nitin Naik, Shangzhu Jin, Jun Peng, Qiang Shen

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2022.
All research outputs
#20,673,680
of 25,392,582 outputs
Outputs from IEEE Transactions on Fuzzy Systems
#332
of 369 outputs
Outputs of similar age
#319,847
of 432,043 outputs
Outputs of similar age from IEEE Transactions on Fuzzy Systems
#5
of 7 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 369 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 432,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.