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 2024 | Viewed by 1162

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

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. Electronics 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 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

Published Papers (1 paper)

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Research

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
Viewed by 582
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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