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Intuitionistic Fuzzy Neural Networks with Interval Valued Intuitionistic Fuzzy Conditions

  • Krassimir Atanassov
  • Sotir SotirovEmail author
  • Nora Angelova
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Part of the Studies in Computational Intelligence book series (SCI, volume 862)

Abstract

This paper describes a new approach for Intuitionistic fuzzy neural networks with interval valued intuitionistic fuzzy conditions. The theoretical basis for the new approach is presented, and well as examples to illustrate the proposed concepts and ideas. This paper can be viewed as the initial foundation of the area of intuitionistic fuzzy neural networks, and in future papers more results will be presented.

Keywords

Intuitionistic fuzzy logic Neural networks Interval valued fuzzy systems 

Notes

Acknowledgements

The first two authors are thankful for the support provided by the Bulgarian National Science Fund under Grant Ref. No. DN-02-10/2016 “New Instruments for Knowledge Discovery from Data, and their Modelling”.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Krassimir Atanassov
    • 1
    • 2
  • Sotir Sotirov
    • 2
    Email author
  • Nora Angelova
    • 3
  1. 1.Department of Bioinformatics and Mathematical Modelling Institute of Biophysics and Biomedical EngineeringBulgarian Academy of SciencesSofiaBulgaria
  2. 2.Intelligent systems laboratoryAssen Zlatarov UniversityBurgasBulgaria
  3. 3.Department of Computer Informatics Faculty of Mathematics and InformaticsSofia UniversitySofiaBulgaria

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