Fuzzy Control System: Design and Applications

Dear Colleagues,

This Special Issue is dedicated to exploring the innovative uses of fuzzy logic systems for the design of control systems and their practical applications. It presents a pivotal opportunity to advance decision-making processes in areas where conventional binary logic often proves inadequate. The focus will be on theoretical and practical innovations, applying fuzzy logic to enhance control design and applications for controlled systems. We welcome contributions that detail the development of new fuzzy-based models, algorithms, and frameworks. Additionally, we encourage papers that combine fuzzy logic with other areas of computational intelligence, such as neural networks, genetic algorithms, and machine learning, to develop hybrid intelligent systems. These systems are especially beneficial in complex environments characterized by large datasets and high levels of uncertainty, typical in sectors like predictive analytics and automated control systems. This Special Issue aims to compile a wide range of research, spanning from fundamental theories to practical applications, illustrating the effectiveness and flexibility of fuzzy systems in addressing the complexities of contemporary control challenges.

This Special Issue, entitled “Fuzzy Control System: Design and Applications”, seeks to underscore recent progress in leveraging fuzzy logic for better decision-making, enhancing control theory and applications, and refining control processes. By utilizing fuzzy logic, known for its adeptness at managing uncertainty and imprecision, this Issue aims to tackle sophisticated challenges across various fields. The areas of interest for this issue include, but are not limited to, the following:

1. Enhancements in strategic decision-making and management through fuzzy logic applications;
2. Integration of fuzzy logic into control systems to achieve more adaptive and robust outcomes;
3. Theoretical and practical exploration of fuzzy systems within control processes.

Prof. Dr. Wen-Jer Chang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• advanced fuzzy theory
• control design and application
• hybrid intelligent systems
• type-2 fuzzy control
• fuzzy system optimization
• intelligent machine learning