Several Limit Theorems on Fuzzy Quantum Space

The probability theory using fuzzy random variables has applications in several scientific disciplines. These are mainly technical in scope, such as in the automotive industry and in consumer electronics, for example, in washing machines, televisions, and microwaves. The theory is gradually entering...

Full description

Saved in:
Bibliographic Details
Published in:Mathematics (Basel) 2021-02, Vol.9 (4), p.438
Main Authors: Ďuriš, Viliam, Bartková, Renáta, Tirpáková, Anna
Format: Article
Language:English
Subjects:
Algebra
Automobile industry
Balkema
Central limit theorem
convergences on fuzzy quantum space
Extreme values
Fisher–Tippett–Gnedenko theorem
Food science
fuzzy quantum space
Fuzzy sets
Hilbert space
law of large numbers
Microwaves
Probability
Probability theory
Quantum physics
Quantum theory
Random variables
Theorems
Validity
Washing machines
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The probability theory using fuzzy random variables has applications in several scientific disciplines. These are mainly technical in scope, such as in the automotive industry and in consumer electronics, for example, in washing machines, televisions, and microwaves. The theory is gradually entering the domain of finance where people work with incomplete data. We often find that events in the financial markets cannot be described precisely, and this is where we can use fuzzy random variables. By proving the validity of the theorem on extreme values of fuzzy quantum space in our article, we see possible applications for estimating financial risks with incomplete data.
ISSN:2227-7390
2227-7390
DOI:10.3390/math9040438