Publication detail

Comparison Uncertainty of Different Types of Membership Functions in T2FLS: Case of International Financial Market

JANKOVÁ, Z. RAKOVSKÁ, E.

Original Title

Comparison Uncertainty of Different Types of Membership Functions in T2FLS: Case of International Financial Market

Type

book chapter

Language

English

Original Abstract

This article deals with the determination and comparison of different types of functions of the type-2 interval of fuzzy logic, using a case study on the international financial market. The model is demonstrated on the time series of the leading stock index DJIA of the US market. Type-2 Fuzzy Logic membership features are able to include additional uncertainty resulting from unclear, uncertain or inaccurate financial data that are selected as inputs to the model. Data on the financial situation of companies are prone to inaccuracies or incomplete information, which is why the type-2 fuzzy logic application is most suitable for this type of financial analysis. This paper is primarily focused on comparing and evaluating the performance of different types of type-2 fuzzy membership functions with integrated additional uncertainty. For this purpose, several model situations differing in shape and level or degree of uncertainty of membership functions are constructed. The results of this research show that type-2 fuzzy sets with dual membership functions is a suitable expert system for highly chaotic and unstable international stock markets and achieves higher accuracy with the integration of a certain level of uncertainty compared to type-1 fuzzy logic.

Keywords

computational finance; fuzzy logic; membership function; Type-1 fuzzy sets; T1FLS; Type-2 fuzzy sets; T2FLS

Authors

JANKOVÁ, Z.; RAKOVSKÁ, E.

Released

21. 11. 2022

Publisher

MDPI

Location

Basel, Switzerland

ISBN

978-3-0365-5532-4

Book

Women in Artificial Intelligence (AI)

Edition

1

Edition number

1

Pages from

279

Pages to

299

Pages count

20

BibTex

@inbook{BUT180005,
  author="Zuzana {Janková} and Eva {Rakovská}",
  title="Comparison Uncertainty of Different Types of Membership Functions in T2FLS: Case of International Financial Market",
  booktitle="Women in Artificial Intelligence (AI)",
  year="2022",
  publisher="MDPI",
  address="Basel, Switzerland",
  series="1",
  edition="1",
  pages="279--299",
  isbn="978-3-0365-5532-4"
}