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Applied Sciences
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Decision Intelligence in Strategy and System-of-Systems Design and Trade-Off
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Decision Intelligence in Strategy and System-of-Systems Design and Trade-Off

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

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 7332

Special Issue Editors

Prof. Dr. Weiping Wang

E-Mail Website
Guest Editor
School of Systems Engineering, National University of Defense Technology, Changsha, China
Interests: strategic management engineering; system modeling; simulation technology
Dr. Tao Wang

E-Mail Website
Guest Editor
School of Systems Engineering, National University of Defense Technology, Changsha, China
Interests: strategic management engineering; network information systems of system; model-based system of systems engineering; intelligent unmanned swarm
Dr. Jinzhi Lu

E-Mail Website
Guest Editor
Institute of Mechanical Engineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
Interests: domain-specific modeling; architecture design; decision making; semantics modeling and simulation; system modeling; process automation; co-simulation; systems dynamics; systems engineering; cyber-physical system; digital thread; cognitive twin; model-based systems engineering
Special Issues, Collections and Topics in MDPI journals
Dr. Meigen Huang

E-Mail Website
Guest Editor
School of Systems Engineering, National University of Defense Technology, Changsha, China
Interests: network information systems of system; decision support algorithm; strategic planning and evaluation; architecture modeling; design and rapid prototyping

Special Issue Information

Dear Colleagues,

The increasing structural and operational complexity in large-scale enterprise leads to a strong requirement of efficient strategic management, thus the role of strategic design and decision-making is becoming important. When designing the strategy for enterprise, the mission definition and analysis cannot be separated from the support of system of systems (SoS) engineering. Moreover, with the rapid development of artificial intelligence (AI), the development of intelligent decision-making has received widespread attention from the academic community and has become the leading development direction in the field of industrial decision-making. This Special Issue aims to explore the current progress and challenges in the development of intelligent decision-making for strategy, SoS design, and trade-off, and to solicit innovative research results in relevant research fields. The deadline for manuscript submission is 30 April 2023. Review and original research articles are welcome. Topics of interest include, but are not limited to:

  • Strategy management and mission engineering theory and methods
  • Strategy choice and pre-practice simulation theory and methods
  • Architecture modeling, design and rapid prototyping
  • Decision intelligence model, method and technology
  • Decision support algorithm in design space tradeoff
  • Application of artificial intelligence in strategic planning and evaluation
  • Network information systems of system and architecture design
  • Design and application of intelligent unmanned swarm
  • Model-based system of systems engineering
  • Model-based mission engineering

Prof. Dr. Weiping Wang
Dr. Tao Wang
Dr. Jinzhi Lu
Dr. Meigen Huang
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. 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 intelligence
  • system of systems (SoS) design
  • strategic planning and evaluation
  • intelligent unmanned system
  • architecture modeling
  • network information SoS
  • decision support
  • model-based mission engineering

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Published Papers (3 papers)

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Research

25 pages, 10099 KiB  
Article
Ontology-Based Architecture Process of System-of-Systems: From Capability Development to Operational Modeling
by Yimin Feng, Qiang Zou, Chenchu Zhou, Yusheng Liu and Qibo Peng
Appl. Sci. 2023, 13(9), 5419; https://doi.org/10.3390/app13095419 - 26 Apr 2023
Cited by 3 | Viewed by 2929
Abstract
System-of-systems (SoS) architecture is crucial in managing complex and interconnected systems. However, the description and modeling of SoS architecture pose significant challenges and require a structured and organized approach. In this study, a metamodel for SoS architecture that considers both structural and behavioral [...] Read more.
System-of-systems (SoS) architecture is crucial in managing complex and interconnected systems. However, the description and modeling of SoS architecture pose significant challenges and require a structured and organized approach. In this study, a metamodel for SoS architecture that considers both structural and behavioral perspectives is defined. The metamodel is then mapped to ontologies that are enhanced with a flow-based extension to characterize architecture views. On this basis, an SoS capability ontology (SoSCO) and an SoS operational ontology (SoSOO) are built with factors, relationships, and flows. A four-step architecture process for developing capabilities and a five-step architecture process for operational modeling are provided based on the ontologies. The proposed approach is applied in a search and rescue case study, demonstrating its ability to improve operability in the early design stage. The process is implemented using the Unified Architecture Framework (UAF) so that various stakeholders and engineers can better understand and develop an SoS. Full article
(This article belongs to the Special Issue Decision Intelligence in Strategy and System-of-Systems Design and Trade-Off)
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15 pages, 2424 KiB  
Article
Securing Network Information System Design: An Efficient Tool for DSP Undocumented Instruction Mining
by Xingcan Zhang, Zhe Chen, Jiawen Ye, Huan Li, Jian Wang, Changlong Liu and Bin Li
Appl. Sci. 2023, 13(6), 3931; https://doi.org/10.3390/app13063931 - 20 Mar 2023
Viewed by 2023
Abstract
As recently studied, the undocumented instructions in embedded processors that may cause catastrophic results for devices have become one of the main threats to system security. To tackle this issue, in this paper, we propose an undocumented instruction mining tool for digital signal [...] Read more.
As recently studied, the undocumented instructions in embedded processors that may cause catastrophic results for devices have become one of the main threats to system security. To tackle this issue, in this paper, we propose an undocumented instruction mining tool for digital signal processors named DSPUIM that can find out the undocumented instructions from the frequently used Digital Signal Processors (DSP) in network information systems. First, we analyzed the characteristics of the DSP instruction format to compress the instruction search space and improve the instruction search speed. Second, according to the public instruction set of DSPs, we built an instruction disassembly framework that helped us to identify all the undefined instructions. Finally, by testing the executability of undefined instructions automatically, we obtained the undocumented instructions for target DSPs. To demonstrate the effectiveness of our tool, we applied it on ten DSP processors of Texas Instruments (TI) and mined 335 undocumented instructions from them within 5 min. Some undocumented instructions have malicious functions, such as changing registers and denial of service, posing a security threat to the network devices using DSPs. Full article
(This article belongs to the Special Issue Decision Intelligence in Strategy and System-of-Systems Design and Trade-Off)
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22 pages, 2561 KiB  
Article
A Novel Psychological Decision-Making Approach for Healthcare Digital Transformation Benchmarking in ASEAN
by Chia-Nan Wang, Thuy-Duong Nguyen, Nhat-Luong Nhieu and Ming-Hsien Hsueh
Appl. Sci. 2023, 13(6), 3711; https://doi.org/10.3390/app13063711 - 14 Mar 2023
Cited by 7 | Viewed by 1569
Abstract
In recent years, digital transformation is seen as a mandatory and urgent requirement in the process of modernizing countries. The effectiveness of the digital transformation process in the field of public management directly affects the social life and operations of businesses. This study [...] Read more.
In recent years, digital transformation is seen as a mandatory and urgent requirement in the process of modernizing countries. The effectiveness of the digital transformation process in the field of public management directly affects the social life and operations of businesses. This study aims to paint an overall picture of the healthcare digital transformation of a rapidly growing region, the Association of Southeast Asian Nations (ASEAN), through a bounded rational multi-criteria assessment method. The novel proposed method is developed in light of the psychological behavior theories and the strengths of multi-criteria decision-making methods, which are based on distance computation and statistical parameters. Therefore, it can not only determine the weight of the criteria objectively through distance correlations, but also deeply describe the subjective psychology of the decision maker. In addition to theoretical contributions with a novel approach, the findings in the benchmarking process reveal important indicators and practical lessons from the digital transformation successes in ASEAN. Full article
(This article belongs to the Special Issue Decision Intelligence in Strategy and System-of-Systems Design and Trade-Off)
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