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Mathematics
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Advances in Multiple-Criteria Decision Making: New Trends and Applications
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Advances in Multiple-Criteria Decision Making: New Trends and Applications

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: 15 November 2025 | Viewed by 1482

Special Issue Editors

Prof. Dr. Gabrijela Popovic

E-Mail Website
Guest Editor
Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Belgrade, Serbia
Interests: multiple-criteria decision-making; operational research; management
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Marko Mihić

E-Mail Website
Guest Editor
Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia
Interests: strategic project management; project portfolio management; strategic planning

Special Issue Information

Dear Colleagues,

We are pleased to announce a call for papers for a Special Issue, Advances in Multiple-Criteria Decision Making: New Trends and Applications. This Special Issue aims to showcase cutting-edge research on novel approaches, frameworks, and applications in multicriteria decision making (MCDM), reflecting the diverse and evolving landscape of decision making methodologies and their extensions in various domains. As real-world decision problems grow in complexity and scope, the MCDM methods become a cornerstone for developing frameworks and tools that support making structured, rational, and transparent decisions. With rapid advances in data availability, computational procedures, and algorithmic techniques, innovative MCDM approaches and methodologies continue to emerge, enhancing the ability to address increasingly complex problems with multiple, often conflicting criteria. This Special Issue seeks to capture these advancements by focusing on innovative theories, methodologies, and applications of MCDM. We encourage papers beyond traditional methodologies, incorporating emerging paradigms and exploring new applications and hybrid models that make MCDM more effective, accessible, and applicable to real-world challenges.

Prof. Dr. Gabrijela Popovic
Prof. Dr. Marko Mihić
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

  • advances in traditional MCDM methods
  • hybrid MCDM methods and models
  • developing new MCDM methods
  • introducing innovative extensions to the MCDM methods
  • applications of MCDM in industry and business
  • MCDM for policy and governance
  • MCDM in risk assessment and crisis management
  • sustainability and green MCDM applications
  • MCDM in emerging technologies

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

34 pages, 3002 KiB  
Article
A Refined Fuzzy MARCOS Approach with Quasi-D-Overlap Functions for Intuitive, Consistent, and Flexible Sensor Selection in IoT-Based Healthcare Systems
by Mahmut Baydaş, Safiye Turgay, Mert Kadem Ömeroğlu, Abdulkadir Aydin, Gıyasettin Baydaş, Željko Stević, Enes Emre Başar, Murat İnci and Mehmet Selçuk
Mathematics 2025, 13(15), 2530; https://doi.org/10.3390/math13152530 - 6 Aug 2025
Viewed by 442
Abstract
Sensor selection in IoT-based smart healthcare systems is a complex fuzzy decision-making problem due to the presence of numerous uncertain and interdependent evaluation criteria. Traditional fuzzy multi-criteria decision-making (MCDM) approaches often assume independence among criteria and rely on aggregation operators that impose sharp [...] Read more.
Sensor selection in IoT-based smart healthcare systems is a complex fuzzy decision-making problem due to the presence of numerous uncertain and interdependent evaluation criteria. Traditional fuzzy multi-criteria decision-making (MCDM) approaches often assume independence among criteria and rely on aggregation operators that impose sharp transitions between preference levels. These assumptions can lead to decision outcomes with insufficient differentiation, limited discriminatory capacity, and potential issues in consistency and sensitivity. To overcome these limitations, this study proposes a novel fuzzy decision-making framework by integrating Quasi-D-Overlap functions into the fuzzy MARCOS (Measurement of Alternatives and Ranking According to Compromise Solution) method. Quasi-D-Overlap functions represent a generalized extension of classical overlap operators, capable of capturing partial overlaps and interdependencies among criteria while preserving essential mathematical properties such as associativity and boundedness. This integration enables a more intuitive, flexible, and semantically rich modeling of real-world fuzzy decision problems. In the context of real-time health monitoring, a case study is conducted using a hybrid edge–cloud architecture, involving sensor tasks such as heartrate monitoring and glucose level estimation. The results demonstrate that the proposed method provides greater stability, enhanced discrimination, and improved responsiveness to weight variations compared to traditional fuzzy MCDM techniques. Furthermore, it effectively supports decision-makers in identifying optimal sensor alternatives by balancing critical factors such as accuracy, energy consumption, latency, and error tolerance. Overall, the study fills a significant methodological gap in fuzzy MCDM literature and introduces a robust fuzzy aggregation strategy that facilitates interpretable, consistent, and reliable decision making in dynamic and uncertain healthcare environments. Full article
(This article belongs to the Special Issue Advances in Multiple-Criteria Decision Making: New Trends and Applications)
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28 pages, 5989 KiB  
Article
Application of Soft Computing Techniques in the Analysis of Educational Data Using Fuzzy Logic
by Marija Mojsilović, Selver Pepić, Gabrijela Popović, Muzafer Saračević and Darjan Karabašević
Mathematics 2025, 13(13), 2096; https://doi.org/10.3390/math13132096 - 26 Jun 2025
Viewed by 489
Abstract
The application of soft computing techniques, with a special emphasis on fuzzy logic, represents a modern approach to analyzing complex educational data. This paper explores the possibilities of applying soft computing to identify and interpret factors that influence the motivation and educational achievement [...] Read more.
The application of soft computing techniques, with a special emphasis on fuzzy logic, represents a modern approach to analyzing complex educational data. This paper explores the possibilities of applying soft computing to identify and interpret factors that influence the motivation and educational achievement of students in academic and professional studies, with special reference to the differences between these two groups of students in experienced subjects. Fuzzy logic enables more detailed processing of educational parameters that are subject to subjective interpretations and are often not clearly defined. By using this approach, decision support systems are developed that facilitate the understanding of students’ motivational patterns, their preferences, and challenges in mastering different types of content. Analyzing educational data seeks to identify relevant motivational factors that can contribute to shaping more effective and personalized teaching strategies. The goal of the work is to improve the quality of the educational process through the integration of soft computing methods, to raise the level of engagement and success of students in various fields of study. Full article
(This article belongs to the Special Issue Advances in Multiple-Criteria Decision Making: New Trends and Applications)
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