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Decision-Making Methods: Applications and Perspectives, 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 322

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Guest Editor
Department Of Applied Computer Science, AGH University of Krakow, 30-059 Kraków, Poland
Interests: multiple criteria decision making methods; pairwise comparisons; ranking theory
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Despite intensive scientific development in many areas, such as cognitive science, artificial intelligence, and machine learning, computer systems do not (and probably never will) make crucial decisions independently. Their actions result in inconclusive recommendations, often making many such proposals. Therefore, there remains much scope for developing decision-making methods that can combine and process expert knowledge from different sources.

In this Special Issue, we invite authors to submit papers reflecting on the future of decision-making methods from the perspective of advances in various computational techniques. In particular, topics of interest include (but are not limited to) the following: 

  • Hybrid decision-making methods combining different techniques;
  • Methods for calculating rankings based on different types of decision data;
  • Novel applications of existing decision-making methods;
  • Frameworks and software for decision making; 
  • Decision-making methods using machine learning and artificial intelligence;
  • Security of the decision-making process, and resistance of methods to manipulation and fraud;
  • Methods for reaching and developing consensus;
  • Methods using pairwise comparisons of alternatives.

Dr. Konrad Kułakowski
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences 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 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

  • decision-making methods
  • machine learning
  • artificial intelligence

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Published Papers (1 paper)

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Research

20 pages, 1032 KB  
Article
Hybrid MCDM Framework for Selecting Visual Programming Software for Children with Special Educational Needs Using the ROC and PROMETHEE II Methods
by Marija Krstić, Dragan Soleša and Lazar Krstić
Appl. Sci. 2026, 16(13), 6366; https://doi.org/10.3390/app16136366 (registering DOI) - 25 Jun 2026
Abstract
Visual programming using blocks and diagrams facilitates understanding of fundamental programming concepts, which is particularly important for children with special educational needs because it reduces their cognitive load and encourages interactive learning. This study aimed to develop and apply a hybrid multi-criteria framework [...] Read more.
Visual programming using blocks and diagrams facilitates understanding of fundamental programming concepts, which is particularly important for children with special educational needs because it reduces their cognitive load and encourages interactive learning. This study aimed to develop and apply a hybrid multi-criteria framework to evaluate, rank, and select visual programming software solutions intended for children with special educational needs. Based on an analysis of the educational context and the target population’s needs, a set of criteria was defined to evaluate and select the most suitable software solution. Data for the analysis were collected using a structured questionnaire, from which a decision matrix was developed. Within the proposed hybrid multi-criteria decision-making (MCDM) framework, criterion weights were determined using the Rank Order Centroid (ROC) method, and the ranking of alternatives was performed using the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE II). Additionally, a sensitivity analysis was conducted to assess the stability and robustness of the obtained rankings in relation to changes in the criterion weights. The results indicate a stable ranking of alternatives and the identification of the most favorable solution in the majority of scenarios. The projection quality of 91.1% in the Geometrical Analysis for Interactive Aid (GAIA) plane confirmed the reliability of the visual interpretation of the results. The proposed framework improves the decision-making process and provides a foundation for further research in educational software evaluation. Full article
(This article belongs to the Special Issue Decision-Making Methods: Applications and Perspectives, 2nd Edition)
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