Special Issue

Topic: Explainable AI Engineering Applications
A Special Issue of Complex Engineering Systems
ISSN 2770-6249 (Online)
Submission deadline: 31 Dec 2026
Guest Editor(s)
Dr. Kelly Cohen
Department of Aerospace Engineering & Engineering Mechanics, University of Cincinnati, Cincinnati, OH, USA.
Special Issue Introduction
The ability to explain the reasoning of an algorithm is critical. This feature of AI architectures is known as explainability. Without it, the outputs generated by a model are meaningless. Currently, most industrial engineering systems resort to opaque or unexplainable algorithms. Thus, a large percentage of the data-driven decisions made in the world have no justification. Not only for certification and reliability reasons, but also supervision, it is necessary to change this paradigm and encourage the use of transparent AI. There are two main streams dedicated to this field of explainability. The first consists of modifying algorithms that are already opaque so that in some way, with these new modifications, they are a little more interpretable. The second variant consists of proposing novel algorithms whose mathematical operations are from the very core easy to understand from the human perspective, while simultaneously achieving high performance. Although the second approach is more complicated, it offers a higher long-term return, as it pushes the boundary of what is known.
In this Special Issue, we aim to cover a selection of theoretical and experimental research that advances the development of explainable and transparent AI algorithms. Topics include, but are not limited to the following issues:
● Fuzzy logic
● Genetic fuzzy systems
● Bio-inspired evolutionary optimization algorithms
● Soft computing
● Multi-agent systems
● Intelligent controls
● Gradient-based interpretable architectures
● Neuro-fuzzy hybridization
In this Special Issue, we aim to cover a selection of theoretical and experimental research that advances the development of explainable and transparent AI algorithms. Topics include, but are not limited to the following issues:
● Fuzzy logic
● Genetic fuzzy systems
● Bio-inspired evolutionary optimization algorithms
● Soft computing
● Multi-agent systems
● Intelligent controls
● Gradient-based interpretable architectures
● Neuro-fuzzy hybridization
Submission Deadline
31 Dec 2026
Submission Information
For Author Instructions, please refer to https://oaepublish.com/comengsys/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=comengsys&SpecialIssueId=ces220311
Submission Deadline: this Special Issue is open for long-term submissions, and you are welcome to submit at any time.
Contacts: Wen Zhang, Assistant Editor, assistant_editor@comengsys.com
Published Articles
Open Access Research Article
Reinforcement learning with Takagi-Sugeno-Kang fuzzy systems
This article belongs to the Special Issue Explainable AI Engineering Applications
Complex Eng Syst 2023;3:9.
DOI: 10.20517/ces.2023.11
Available online: 13 Jun 2023
Open Access Research Article
Formal verification of Fuzzy-based XAI for Strategic Combat Game
This article belongs to the Special Issue Explainable AI Engineering Applications
Complex Eng Syst 2023;3:4.
DOI: 10.20517/ces.2022.54
Available online: 29 Mar 2023
Open Access Research Article
Interpretable AI for bio-medical applications
This article belongs to the Special Issue Explainable AI Engineering Applications
Complex Eng Syst 2022;2:18.
DOI: 10.20517/ces.2022.41
Available online: 27 Dec 2022