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 (14 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Aggregation of partial T-indistinguishability operators: an application to image recognition

Department of Mathematics, Kocaeli University, Umuttepe Campus, Kocaeli 41380, Turkey
Show Author Information

Abstract

In this paper, we introduce the notion of residual domination, which is a stronger version of the usual concept of domination. Then, we show how a family of partial T-indistinguishability operators can be aggregated into one operator using residual domination. This new idea allows the use of partial T-indistinguishability operators instead of T-indistinguishability operators, thus providing a wider variety of operators when we need to apply them to real-life problems. Additionally, we present a practical application to the image recognition problem by using T-indistinguishability operators and partial T-indistinguishability operators. Finally, we give an illustrative example to explain the proposed technique.

CLC number: 03B52, 47S40

References

【1】
【1】
 
 
AIMS Mathematics
Pages 21091-21112

{{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:
Güner E. Aggregation of partial T-indistinguishability operators: an application to image recognition. AIMS Mathematics, 2026, 11(7): 21091-21112. https://doi.org/10.3934/math.2026856

5

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 09 May 2026
Revised: 18 June 2026
Accepted: 02 July 2026
Published: 15 July 2026
©2026 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)