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Uncertainty Modeling

Overview of attention for book
Cover of 'Uncertainty Modeling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 MapReduce: From Elementary Circuits to Cloud
  3. Altmetric Badge
    Chapter 2 On the Helmholtz Principle for Data Mining
  4. Altmetric Badge
    Chapter 3 A Method of Introducing Weights into OWA Operators and Other Symmetric Functions
  5. Altmetric Badge
    Chapter 4 Uncertainty Management: Probability, Possibility, Entropy, and Other Paradigms
  6. Altmetric Badge
    Chapter 5 Relationships Between Fuzziness, Partial Truth, and Probability in the Case of Repetitive Events
  7. Altmetric Badge
    Chapter 6 Using Extended Tree Kernel to Recognize Metalanguage in Text
  8. Altmetric Badge
    Chapter 7 Relationships Between Probability and Possibility Theories
  9. Altmetric Badge
    Chapter 8 Modeling Extremal Events Is Not Easy: Why the Extreme Value Theorem Cannot Be As General As the Central Limit Theorem
  10. Altmetric Badge
    Chapter 9 Information Quality and Uncertainty
  11. Altmetric Badge
    Chapter 10 Applying Anomalous Cluster Approach to Spatial Clustering
  12. Altmetric Badge
    Chapter 11 Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation
  13. Altmetric Badge
    Chapter 12 A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction
  14. Altmetric Badge
    Chapter 13 Physics of the Mind, Dynamic Logic, and Monotone Boolean functions
  15. Altmetric Badge
    Chapter 14 Fuzzy Arithmetic Type 1 with Horizontal Membership Functions
  16. Altmetric Badge
    Chapter 15 Copula as a Bridge Between Probability Theory and Fuzzy Logic
  17. Altmetric Badge
    Chapter 16 Note to the Polemics Surrounding the Second Gödel’s Theorem
  18. Altmetric Badge
    Chapter 17 Ontological Data Mining
Attention for Chapter 15: Copula as a Bridge Between Probability Theory and Fuzzy Logic
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Chapter title
Copula as a Bridge Between Probability Theory and Fuzzy Logic
Chapter number 15
Book title
Uncertainty Modeling
Published in
Studies in Computational Intelligence, February 2017
DOI 10.1007/978-3-319-51052-1_15
Book ISBNs
978-3-31-951051-4, 978-3-31-951052-1
Authors

Germano Resconi, Boris Kovalerchuk

Editors

Vladik Kreinovich

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 40%
Researcher 1 20%
Student > Ph. D. Student 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Engineering 1 20%
Unknown 1 20%
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 11 February 2017.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Studies in Computational Intelligence
#1
of 1 outputs
Outputs of similar age
#326,973
of 428,961 outputs
Outputs of similar age from Studies in Computational Intelligence
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them