Advances in Decision Making for Complex Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 December 2025 | Viewed by 6134

Special Issue Editor


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Guest Editor
Department Software and Complex Systems Engineering, National Institute for Research and Development in Informatics, 011455 Bucharest, Romania
Interests: decision making; decision theory; multi-criteria methods; multi-attribute methods; multi-criteria decision making; multi-objective decision making; weighting methods; decision support systems; risk management

Special Issue Information

Dear Colleagues,

Management systems today are becoming increasingly complex, with many of these systems involving decision making made by one decision maker or several. Many real-life problems, such as problems from engineering, energy, medicine, agriculture, manufacturing and various industries, have a multi-criteria character in that they are problems in which decision makers must make a choice among several alternatives. In order to solve these issues surrounding decision making, decision-making tools were developed. Multi-criteria decision making is a valuable tool that can be applied for solving many complex multi-criteria decision problems. Some of the approaches for solving multi-criteria decision making (MCDM) problems include multi-attribute decision making (MADM) methods and multi-objective decision making (MODM) optimization methods. Many decisions involve dealing with uncertainty, incompleteness, imprecise information and ambiguity surrounding multisource information. The availability of big data underlines the importance of artificial intelligence (AI) to help in decision making. AI developments for decision making represent a challenge for research in the AI field. This Special Issue is devoted to the development of new methods and applications in the areas of decision making for complex systems. We invite authors to contribute their high-quality, original research papers and review articles in the domain of decision-making tools and applications. We welcome papers that present new methods or a combination of methods, case studies, decision support systems and comprehensive reviews. We also welcome survey papers that provide valuable references on advances in decision making, new developments in multi-criteria methods and applications that solve various decision-making problems in complex systems.

Dr. Constanta Zoie Radulescu
Guest Editor

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Keywords

  • decision making and group decision making for complex systems
  • advanced in multiple criteria decision aiding (MCDA) for complex systems
  • multi-objective optimization
  • multi-criteria methods and applications
  • decision making under uncertainty
  • group decision making
  • fuzzy decision making
  • optimization methods and applications for decision making
  • computing and software for MCDM
  • decision support systems
  • modelling and optimization of complex systems
  • artificial intelligence in decision making
  • preference modelling risk and uncertainty
  • weighting methods
  • hybrid decision-making methods
  • intelligent decision

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Published Papers (2 papers)

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Research

36 pages, 7839 KiB  
Article
Geriatric Healthcare Supported by Decision-Making Tools Integrated into Digital Health Solutions
by Ovidiu Lucian Băjenaru, Lidia Băjenaru, Marilena Ianculescu, Victor-Ștefan Constantin, Andreea-Maria Gușatu and Cătălina Raluca Nuță
Electronics 2024, 13(17), 3440; https://doi.org/10.3390/electronics13173440 - 30 Aug 2024
Cited by 3 | Viewed by 3071
Abstract
The aging population requires cutting-edge approaches to geriatric care, with digital health technologies playing a crucial part in meeting the challenging demands of healthcare. Current approaches frequently fall short of the goal of providing comprehensive, real-time monitoring and merging contextually complex information for [...] Read more.
The aging population requires cutting-edge approaches to geriatric care, with digital health technologies playing a crucial part in meeting the challenging demands of healthcare. Current approaches frequently fall short of the goal of providing comprehensive, real-time monitoring and merging contextually complex information for use in the treatment of patients. This paper addresses these limitations by integrating the innovative approaches within the RO-SmartAgeing system and the NeuroPredict platform to boost geriatric-care outcomes. It emphasizes the multifaceted design and development processes of these digital health solutions, emphasizing a multidisciplinary approach and a meticulous choice of decision-making tools. This paper presents the inclusion of decision-making tools, namely the Medical Blackbox and Gaitband, into the RO-SmartAgeing system and the NeuroPredict platform; these tools have been developed for the purpose of gathering complex physiological data and allow for in-depth evaluations of gait patterns and vital health parameters in elderly individuals. The present research emphasizes major breakthroughs in sensing technology and decision-making capabilities, illustrating the manner in which these tools enhance patient outcomes by providing timely, data-driven insights. The results demonstrate that these tailored decision-making tools significantly improve patient outcomes, underscoring the need for such ongoing improvements able to address digital health solutions tailored to the dynamic demands of an increasingly aging population. Full article
(This article belongs to the Special Issue Advances in Decision Making for Complex Systems)
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26 pages, 761 KiB  
Article
A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems
by Constanta Zoie Radulescu and Marius Radulescu
Electronics 2024, 13(4), 789; https://doi.org/10.3390/electronics13040789 - 17 Feb 2024
Cited by 11 | Viewed by 2062
Abstract
The growth of Internet of Things (IoT) systems is driven by their potential to improve efficiency, enhance decision-making, and create new business opportunities across various domains. In this paper, the main selection problems in IoT-type systems, criteria used in multi-criteria evaluation, and multi-criteria [...] Read more.
The growth of Internet of Things (IoT) systems is driven by their potential to improve efficiency, enhance decision-making, and create new business opportunities across various domains. In this paper, the main selection problems in IoT-type systems, criteria used in multi-criteria evaluation, and multi-criteria methods used for solving IoT selection problems are identified. Then, a Hybrid Group Multi-Criteria Approach for solving selection problems in IoT-type systems is proposed. The approach contains the Best Worst Method (BWM) weighting method, multi-criteria Simple Additive Weighting (SAW), Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and Complex Proportional Assessment Method (COPRAS), and a method that combines the solutions obtained using the four considered multi-criteria methods to obtain a single solution. The SAW, TOPSIS, VIKOR, and COPRAS methods were analyzed in relation to their advantages, disadvantages, inputs, outputs, measurement scale, type of normalization, aggregation method, parameters, complexity of implementation, and interactivity. An application of the Hybrid Group Multi-Criteria Approach for IoT platform selection and a comparison between the SAW, TOPSIS, VIKOR, and COPRAS solutions and the solution of the proposed approach is realized. A Spearman correlation analysis is presented. Full article
(This article belongs to the Special Issue Advances in Decision Making for Complex Systems)
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