Interval Type-2 Fuzzy Logic Expert System for Investment Analysis
Zuzana Janková, Petr Dostál · Scientific Papers of the University of Pardubice. Series D, Faculty of Economics and Administration · 2019
In this paper, a higher degree of fuzzy logic type-2 fuzzy logic is presented as decision making process of investment. There is a key difference between type-2 and type-1 fuzzy logic. The application is made on the Czech stock market and is used to decide on investing in PX index stocks. The proposed type 2 fuzzy model uses the return and risk of investment instruments as input variables. The system created is able to generate aggregate models from a certain number of language rules, allowing the investor to understand the generated financial model. The use of T2FLS can lead to more realistic and accurate results than T1FLS.