Research on Fuzzy Sets and Multi-Criteria Decision Making with Applications

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: 25 December 2026 | Viewed by 20

Special Issue Editors


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Guest Editor
Department of Information Management, Chaoyang University of Technology, Taichung 41349, Taiwan
Interests: fuzzy logic; sustainability; technology adoption; service quality; multi-criteria decision support networks; data mining
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Interests: multicriteria analysis; decision making; fuzzy set theory; uncertainty analysis; forecasting; linear programming; k-means; clustering; clustering algorithms; simulation; stochastic system theory

Special Issue Information

Dear Colleagues,

This Special Issue focuses on advancing theoretical and applied research in fuzzy sets, rough set theory, and uncertainty modeling for improving decision quality in complex, real-world environments. In the era of data-driven innovation, organizations increasingly rely on Multi-Criteria Decision Making (MCDM) and decision making theory to handle ambiguity, conflicting objectives, and dynamic system interactions. The integration of fuzzy and rough set-based approaches provides robust analytical tools for dealing with incomplete, imprecise, and uncertain information, enabling more accurate and transparent evaluations.

The Special Issue welcomes contributions that develop or apply Decision Support Systems (DSS) and hybrid MCDM frameworks for optimizing outcomes in diverse domains, particularly business management, technology adoption, and sustainable process design. Studies addressing the intersection of mathematical modeling, intelligent computing, and sustainability-driven strategies are especially encouraged. Potential topics include novel MCDM models, fuzzy–rough hybrid systems, risk analysis under uncertainty, and decision support methodologies for digital transformation and sustainable development. By combining theoretical rigor with practical relevance, this Special Issue aims to contribute to the evolution of intelligent decision making systems that support responsible innovation and sustainable progress.

Dr. Venkateswarlu Nalluri
Dr. Miloš Gligorić
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. Axioms 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.

Keywords

  • fuzzy sets
  • rough set theory
  • uncertainty modeling
  • multi-criteria decision making
  • decision making theory
  • decision support system
  • modeling in business management
  • technology adoption
  • sustainable processes MCDM

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Published Papers

This special issue is now open for submission.
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