Intelligent and Fuzzy Systems: Applications in Engineering and Technology

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Fuzzy Sets, Systems and Decision Making".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 570

Special Issue Editors


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Guest Editor
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Interests: developing fuzzy and intelligent systems; modelling of complex processes; decision making under uncertainty

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Guest Editor
Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
Interests: modelling and simulation of transport systems; traffic flow optimization; intelligent transport systems

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Guest Editor
School of Computing, University of Portsmouth, Portsmouth PO1 2UP, UK
Interests: artificial intelligence; machine learning methods using fuzzy systems; neural networks and evolutionary algorithms
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Special Issue Information

Dear Colleagues,

The topic Intelligent and Fuzzy Systems: Applications in Engineering and Technology is related to the modelling and simulation of complex interconnected processes working under uncertainty in different application areas. These complex processes can be found in a wide range of sectors including industry, environment, economy, transport, medicine and management. The commonality between these processes is that they are often unpredictable and poorly defined because of a large number of controllable and non-controllable factors, such as uncertainties and non-linearities in the environment and the inputs or the outputs. In this case, the purpose is to find effective methods for tasks such as modelling, simulation and control for complex processes. Fuzzy systems can provide this effectiveness due to their ability to capture uncertainties and non-linearities well. These methods can also be complemented with other artificial intelligence methods such as machine learning, neural networks and evolutionary algorithms for other tasks such as decision support, decision making and knowledge discovery.

We are inviting submissions to the Mathematics Special Issue on “Intelligent and Fuzzy Systems: Applications in Engineering and Technology”.

Dr. Boriana Vatchova
Dr. Yordanka Boneva
Dr. Alexander Gegov
Guest Editors

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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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.

Keywords

  • intelligent systems
  • fuzzy systems
  • complex processes
  • decision making
  • decision support
  • smart solutions
  • knowledge discovery
  • machine learning
  • evolutionary algorithms
  • neural networks

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Published Papers (1 paper)

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Research

27 pages, 3926 KiB  
Article
Research on Service Quality for China’s Ceramic Product Design Industry
by Junxi Zhu and Chia-Liang Lin
Mathematics 2024, 12(18), 2827; https://doi.org/10.3390/math12182827 - 12 Sep 2024
Viewed by 178
Abstract
As a part of the service industry, product design practitioners should possess an understanding of the multifaceted factors and solutions that contribute to delivering exceptional service quality. However, related research on the service quality factors and solutions for China’s ceramic product design industry [...] Read more.
As a part of the service industry, product design practitioners should possess an understanding of the multifaceted factors and solutions that contribute to delivering exceptional service quality. However, related research on the service quality factors and solutions for China’s ceramic product design industry is still an important research gap. In view of this, an integrated approach based on multi-criteria decision making (MCDM), combining the fuzzy analytic hierarchy process (FAHP) and the measurement of alternatives and ranking according to compromise solution (MARCOS), was proposed in this research to analyse and evaluate the service quality factors and solutions for China’s ceramic product design industry. Initially, the FAHP method determined the significance of the service quality dimensions and indicators. Subsequently, the MARCOS method ranked the alternatives based on their performance against these criteria. This research focuses on the growing subject of service quality in China’s ceramic product design industry. The proposed model identifies essential service quality factors and solutions for China’s ceramic product design industry. The findings of this study may assist ceramic product design practitioners in China in making strategic decisions to provide excellent service quality. Full article
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