AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (239.9 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Note on fuzzifying probability density function and its properties

Dojin Kim1Lee-Chae Jang2Seongook Heo1Patcharee Wongsason3( )
Department of Mathematics, Dongguk University, Seoul 04620, Republic of Korea
Graduate School of Education, Konkuk University, Seoul 05029, Republic of Korea
Department of Mathematics, Statistics and Computers, Faculty of Sciences, Ubon Ratchathani University, Ubon Ratchathani, 34190, Thailand
Show Author Information

Abstract

This paper applies the concepts of fuzzifying functions to the probability density function of a random variable and introduce a fuzzifying probability to better understand the probability arising from the uncertainties of the probability density function. Using the fuzzifying probability, we derive the fuzzifying expected value and the fuzzifying variance of a random variable with the fuzzifying probability density function. Additionally, we provide examples of a fuzzifying probability density function to validate that the proposed fuzzy concepts generalize crisp expected value and variance in probability theory.

CLC number: 28E10, 46S40

References

【1】
【1】
 
 
AIMS Mathematics
Pages 15486-15498

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Kim D, Jang L-C, Heo S, et al. Note on fuzzifying probability density function and its properties. AIMS Mathematics, 2023, 8(7): 15486-15498. https://doi.org/10.3934/math.2023790

6

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 29 October 2022
Revised: 29 March 2023
Accepted: 19 April 2023
Published: 15 July 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)