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Least Square Method with Quasi Linearly Interactive Fuzzy Data: Fitting an HIV Dataset

  • Nilmara J. Biscaia PintoEmail author
  • Estevão Esmi
  • Vinícius Francisco Wasques
  • Laécio C. Barros
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1000)

Abstract

In this manuscript we propose a method to fit a dataset with uncertainty. These data are described by interactive fuzzy numbers. The relationship of interactivity is associated with the notion of joint possibility distribution. We focus on a specific type of interactivity namely linear interactivity. We use this concept to introduce a class of fuzzy numbers called quasi linearly interactive fuzzy numbers. We provide an application to fit a dataset of the HIV disease to illustrate the proposed method.

Notes

Acknowledgements

The authors would like to thank the financial support of CAPES under grant no 1691227 and Finance Code 001, CNPq under grants 142414/2017-4 and 306546/2017-5, and, FAPESP under grant no 2016/26040-7.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nilmara J. Biscaia Pinto
    • 1
    Email author
  • Estevão Esmi
    • 1
  • Vinícius Francisco Wasques
    • 1
  • Laécio C. Barros
    • 1
  1. 1.Institute of Mathematics, Statistics and Scientific ComputingUniversity of CampinasCampinasBrazil

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