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Mathematics
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Intelligent and Fuzzy Systems: Applications in Engineering and Technology
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Intelligent and Fuzzy Systems: Applications in Engineering and Technology

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".

Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 2216

Special Issue Editors

Dr. Boriana Vatchova

E-Mail Website
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
Dr. Yordanka Boneva

E-Mail Website
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
Dr. Alexander Gegov

E-Mail Website
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
Special Issues, Collections and Topics in MDPI journals

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 (2 papers)

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Research

27 pages, 5283 KiB  
Article
Multicriteria Group Decision Making Based on TODIM and PROMETHEE II Approaches with Integrating Quantum Decision Theory and Linguistic Z Number in Renewable Energy Selection
by Prasenjit Mandal, Leo Mrsic, Antonios Kalampakas, Tofigh Allahviranloo and Sovan Samanta
Mathematics 2024, 12(23), 3790; https://doi.org/10.3390/math12233790 - 30 Nov 2024
Cited by 2 | Viewed by 772
Abstract
Decision makers (DMs) are often viewed as autonomous in the majority of multicriteria group decision making (MCGDM) situations, and their psychological behaviors are seldom taken into account. Once more, we are unable to prevent both positive and negative flows of varying alternative preferences [...] Read more.
Decision makers (DMs) are often viewed as autonomous in the majority of multicriteria group decision making (MCGDM) situations, and their psychological behaviors are seldom taken into account. Once more, we are unable to prevent both positive and negative flows of varying alternative preferences due to the nature of attributes or criteria in complicated decision-making problems. However, DMs’ perspectives are likely to affect one another in complicated MCGDM issues, and they frequently use subjective limited rationality while making decisions. The multicriteria quantum decision theory-based group decision making integrating the TODIM-PROMETHEE II strategy under linguistic Z-numbers (LZNs) is designed to overcome the aforementioned problems. In our established technique, the PROMETHEE II controls the positive and negative flows of distinct alternative preferences, the TODIM method manages the experts’ personal regrets over a criterion, and the quantum probability theory (QPT) addresses human cognition and behavior. Because LZNs can convey linguistic judgment and trustworthiness, we provide expert LZNs for their viewpoints in this work. We determine the criterion weights for each expert after first obtaining their respective expert weights. Second, to represent the limited rational behaviors of the DMs, the TODIM-PROMETHEE II approach is introduced. It is employed to determine each alternative’s dominance in both positive and negative flows. Third, a framework for quantum possibilistic aggregation is developed to investigate the effects of interference between the views of DMs. The views of DMs are seen in this procedure as synchronously occurring wave functions that affect the overall outcome by interfering with one another. The model’s efficacy is then assessed by a selection of renewable energy case studies, sensitive analysis, comparative analysis, and debate. Full article
(This article belongs to the Special Issue Intelligent and Fuzzy Systems: Applications in Engineering and Technology)
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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 760
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
(This article belongs to the Special Issue Intelligent and Fuzzy Systems: Applications in Engineering and Technology)
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