Publication detail

Use type-2 fuzzy logic to reduce stock market prediction uncertainty

JANKOVÁ, Z.

Original Title

Use type-2 fuzzy logic to reduce stock market prediction uncertainty

Type

lecture

Language

English

Original Abstract

This is a requested lecture for the Five Days’ International Webinar on Linguistics, Machine Learning & Uncertainty Theory delivered on December 18, 2021, at Haldia Institute of Technology.

Keywords

prediction; sentiment; stock market; type- fuzzy logic

Authors

JANKOVÁ, Z.

Released

18. 12. 2021

Publisher

Haldia Institute of Technology

Location

West Bengal, India

Pages from

1

Pages to

22

Pages count

22

URL

https://hithaldia.ac.in/wp-content/uploads/2021/12/Edited-Brochure-International-Webinar-on-Linguistics-ML-UT-LMLAUT-2021.pdf

BibTex

@misc{BUT175383,
  author="Zuzana {Janková}",
  title="Use type-2 fuzzy logic to reduce stock market prediction uncertainty
",
  year="2021",
  pages="1--22",
  publisher="Haldia Institute of Technology",
  address="West Bengal, India",
  url="https://hithaldia.ac.in/wp-content/uploads/2021/12/Edited-Brochure-International-Webinar-on-Linguistics-ML-UT-LMLAUT-2021.pdf",
  note="lecture"
}