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Accuracy of Data Fusion: Interval (and Fuzzy) Case

  • Christian Servin
  • Olga Kosheleva
  • Vladik KreinovichEmail author
Chapter
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Part of the Studies in Computational Intelligence book series (SCI, volume 899)

Abstract

The more information we have about a quantity, the more accurately we can estimate this quantity. In particular, if we have several estimates of the same quantity, we can fuse them into a single more accurate estimate. What is the accuracy of this estimate? The corresponding formulas are known for the case of probabilistic uncertainty. In this paper, we provide similar formulas for the cases of interval and fuzzy uncertainty.

Notes

Acknowledgements

This work was supported in part by the National Science Foundation via grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science) and HRD-1242122 (Cyber-ShARE Center of Excellence).

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Christian Servin
    • 1
  • Olga Kosheleva
    • 2
  • Vladik Kreinovich
    • 2
    Email author
  1. 1.Computer Science and Information Technology Systems DepartmentEl Paso Community CollegeEl PasoUSA
  2. 2.University of Texas at El PasoEl PasoUSA

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