First Advisor
Ge Zhao
Date of Award
Spring 6-13-2025
Document Type
Thesis
Degree Name
Bachelor of Science (B.S.) in Mathematics and University Honors
Department
Mathematics and Statistics
Language
English
Subjects
Fuzzy Mathematics, Forecasting, Fuzzy Time Series, Stock Price Forecasting, Fuzzy Relation, Fuzzy Numbers
Abstract
Fuzzy mathematics looks to incorporate the vagueness that exists within the real world, specifically regarding imprecise classes, or non-numerical information expressed as "linguistic" variables. Since most traditional mathematical theories do not have the ability to be applied with the exactness that is otherwise seen in mathematics. As such, there had been many applications of fuzzy mathematics throughout many different fields of mathematics, including that of forecasting. By exploring the fundamentals of fuzzy mathematics, including fuzzy sets, operations of fuzzy sets, the surface level introduction to fuzzy logic, fuzzy relations, operations of fuzzy relations, and fuzzy time-series, this work looks to analyze a stock price forecasting model to show how fuzzy time-series can be utilized in stock price forecasting. Additionally, an enrollment forecasting model is utilized to help introduce the methods and specific operations that were utilized to generate one of the first fuzzy time-series forecasting models.
Persistent Identifier
https://archives.pdx.edu/ds/psu/44086
Recommended Citation
Stormer, Takeshi, "A Study on Fuzzy Time-Series and its Applications to Stock Price Forecasting" (2025). University Honors Theses. Paper 1706.
Included in
Other Mathematics Commons, Other Statistics and Probability Commons, Statistical Models Commons