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Mathematics
Special Issues
Applications of Decision-Making Systems and Embedded Computing
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Applications of Decision-Making Systems and Embedded Computing

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 7147

Special Issue Editor

Prof. Dr. Alexey Ivutin

E-Mail Website
Guest Editor
Department of Computer Technology, Tula State University, Tula, Russia
Interests: Algorithms; C++; Embedded Computing; Swarm Intelligence; Distributed Systems; Software Development; Parallel and Distributed Computing; Software Analysis; Formal Verification; Model Checking

Special Issue Information

Dear Colleagues,

Decision-making systems are widely used to simplify the process of human decision making in the case of multicriteria selection. Their application increases the reliability of decision making in multifactorial tasks and allows avoiding errors associated with the human factor. Recently, with the development of big data technologies, data mining, machine learning, and swarm computing, this approach has received a new impetus for development. Decision-making systems and machine learning are the key technologies of the smart manufacturing era of Industry 4.0.

The purpose of this Special Issue is to establish a collection of high-quality original research that develops novel insights into the design, development, and implementation of decision-making systems on modern embedded platforms. These technologies are widely used in state-of-the-art medical, economics, and robotics systems. Of special interest are papers that deal with data mining and machine learning techniques and algorithms, multiagent theories, social intelligence, and swarm-based optimization.

Prof. Dr. Alexey Ivutin
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. 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

  • Decision-making systems
  • Data mining
  • Machine learning
  • Embedded computing
  • Swarm-based optimization

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Published Papers (3 papers)

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Research

21 pages, 2746 KiB  
Article
Rough Set Approach for Identifying the Combined Effects of Heat and Mass Transfer Due to MHD Nanofluid Flow over a Vertical Rotating Frame
by Sumayyah I. Alshber and Hossam A. Nabwey
Mathematics 2021, 9(15), 1798; https://doi.org/10.3390/math9151798 - 29 Jul 2021
Cited by 3 | Viewed by 1324
Abstract
The current work aims to investigate how to utilize rough set theory for generating a set of rules to investigate the combined effects of heat and mass transfer on entropy generation due to MHD nanofluid flow over a vertical rotating frame. The mathematical [...] Read more.
The current work aims to investigate how to utilize rough set theory for generating a set of rules to investigate the combined effects of heat and mass transfer on entropy generation due to MHD nanofluid flow over a vertical rotating frame. The mathematical model describing the problem consists of nonlinear partial differential equations. By applying suitable transformations these equations are converted to non-dimensional form which are solved using a finite difference method known as “Runge-Kutta Fehlberg (RKF-45) method”. The obtained numerical results are depicted in tabular form and the basics of rough sets theory are applied to acquire all reductions. Finally; a set of generalized classification rules is extracted to predict the values of the local Nusselt number and the local Sherwood number. The resultant set of generalized classification rules demonstrate the novelty of the current work in using rough sets theory in the field of fluid dynamics effectively and can be considered as knowledge base with high accuracy and may be valuable in numerous engineering applications such as power production, thermal extrusion systems and microelectronics. Full article
(This article belongs to the Special Issue Applications of Decision-Making Systems and Embedded Computing)
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16 pages, 3624 KiB  
Article
Optimization Method for Guillotine Packing of Rectangular Items within an Irregular and Defective Slate
by Kaizhi Chen, Jiahao Zhuang, Shangping Zhong and Song Zheng
Mathematics 2020, 8(11), 1914; https://doi.org/10.3390/math8111914 - 1 Nov 2020
Cited by 6 | Viewed by 2867
Abstract
Research on the rectangle packing problems has mainly focused on rectangular raw material sheets without defects, while natural slate has irregular and defective characteristics, and the existing packing method adopts manual packing, which wastes material and is inefficient. In this work, we propose [...] Read more.
Research on the rectangle packing problems has mainly focused on rectangular raw material sheets without defects, while natural slate has irregular and defective characteristics, and the existing packing method adopts manual packing, which wastes material and is inefficient. In this work, we propose an effective packing optimization method for nature slate; to the best of our knowledge, this is the first attempt to solve the guillotine packing problem of rectangular items in a single irregular and defective slate. This method is modeled by the permutation model, uses the horizontal level (HL) heuristic proposed in this paper to obtain feasible solutions, and then applies the genetic algorithm to optimize the quality of solutions further. The HL heuristic is constructed on the basis of computational geometry and level packing. This heuristic aims to divide the irregular plate into multiple subplates horizontally, calculates the movable positions of the rectangle in the subplates, determines whether or not the rectangle can be packed in the movable positions through computational geometry, and fills the scraps appropriately. Theoretical analysis confirms that the rectangles obtained through the HL heuristic are inside the plate and do not overlap with the defects. In addition, the packed rectangles do not overlap each other and satisfy the guillotine constraint. Accordingly, the packing problem can be solved. Experiments on irregular slates with defects show that the slate utilization through our method is between 89% and 95%. This result is better than manual packing and can satisfy actual production requirements. Full article
(This article belongs to the Special Issue Applications of Decision-Making Systems and Embedded Computing)
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21 pages, 751 KiB  
Article
Hybrid TODIM Method for Law Enforcement Possibility Evaluation of Judgment Debtor
by Zhenyu Zhang, Jie Lin, Huirong Zhang, Shuangsheng Wu and Dapei Jiang
Mathematics 2020, 8(10), 1806; https://doi.org/10.3390/math8101806 - 16 Oct 2020
Cited by 16 | Viewed by 2285
Abstract
The phenomenon of the judgment debtor evading the execution of legal documents and concealing his property by improper means has become increasingly prominent in China, which seriously affects the realization of the people’s legitimate rights and interests. To protect the legitimate rights and [...] Read more.
The phenomenon of the judgment debtor evading the execution of legal documents and concealing his property by improper means has become increasingly prominent in China, which seriously affects the realization of the people’s legitimate rights and interests. To protect the legitimate rights and interests of the people, it is necessary to study the law enforcement possibility evaluation of judgment debtors and quickly judge which judgment debtor is likely to complete the legal documents. A novel hybrid TODIM (an acronym in Portuguese for Interative Multi-criteria Decision Making) method for evaluating the law enforcement possibility of judgment debtors is developed. The main idea of the hybrid TODIM method is to obtain the relative possibility value of judgment debtors by comparing the attribute values between two judgment debtors and aggregating all the attributes’ differences. The result shows that the hybrid TODIM method fully considers the psychological and behavioral factors of the law enforcement officers in the evaluation process. The evaluation result is more in line with the law enforcement officers’ experience in handling execution cases. Compared with the hybrid TOPSIS (technique for order preference by similarity to ideal solution) method, the hybrid TODIM method is more suitable for solving the problem. Full article
(This article belongs to the Special Issue Applications of Decision-Making Systems and Embedded Computing)
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