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Mathematics
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Multi-Attribute Decision Making and Intelligent Computing in Smart Governance
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Multi-Attribute Decision Making and Intelligent Computing in Smart Governance

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Fuzzy Sets, Systems and Decision Making".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1538

Special Issue Editor

Dr. Liguo Fei

E-Mail Website
Guest Editor
School of Political Science and Public Administration, Shandong University, Qingdao 266237, China
Interests: multi-attribute decision making; Dempster-Shafer theory; multi-sensor information fusion; emergency management; urban safety; uncertainty modeling

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue of the journal Mathematics entitled “Multi-Attribute Decision Making and Intelligent Computing in Smart Governance”. This initiative focuses on the theoretical and practical progress of multi-attribute decision making and intelligent computing methods, with special attention on their innovative applications in the field of smart governance. The progress of methods and technology has brought about this type of governance, especially in the digital age, where new solutions to problems have emerged in the field of public administration. This Special Issue will focus on the development of multi-attribute decision making and intelligent computing methods, while also focusing on their applications in areas such as risk governance, digital governance, emergency management, and smart cities.

Dr. Liguo Fei
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

  • multi-attribute decision-making method in a linguistic environment
  • multi-attribute decision-making method in a fuzzy environment
  • multi-attribute decision-making method based on the Dempster–Shafer theory
  • multi-attribute decision-making method in a probabilistic environment
  • applications of multi-attribute decision making and intelligent computing methodologies in multi-sensor information fusion
  • applications of multi-attribute decision making and intelligent computing methodologies in risk decisions
  • applications of multi-attribute decision making and intelligent computing methodologies in smart cities
  • applications of multi-attribute decision making and intelligent computing methodologies in emergency management
  • applications of multi-attribute decision making and intelligent computing methodologies in disaster prevention and reduction
  • applications of multi-attribute decision making and intelligent computing methodologies in digital governance

Published Papers (2 papers)

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Research

17 pages, 904 KiB  
Article
A Multi-Information Dissemination Model Based on Cellular Automata
by Changheng Shao, Fengjing Shao, Xin Liu, Dawei Yang, Rencheng Sun, Lili Zhang and Kaiwen Jiang
Mathematics 2024, 12(6), 914; https://doi.org/10.3390/math12060914 - 20 Mar 2024
Viewed by 514
Abstract
Significant public opinion events often trigger pronounced fluctuations in online discourse. While existing models have been extensively employed to analyze the propagation of public opinion, they frequently overlook the intricacies of information dissemination among heterogeneous users. To comprehensively address the implications of public [...] Read more.
Significant public opinion events often trigger pronounced fluctuations in online discourse. While existing models have been extensively employed to analyze the propagation of public opinion, they frequently overlook the intricacies of information dissemination among heterogeneous users. To comprehensively address the implications of public opinion outbreaks, it is crucial to accurately predict the evolutionary trajectories of such events, considering the dynamic interplay of multiple information streams. In this study, we propose a SEInR model based on cellular automata to simulate the propagation dynamics of multi-information. By delineating information dissemination rules that govern the diverse modes of information propagation within the network, we achieve precise forecasts of public opinion trends. Through the concurrent simulation and prediction of multi-information game and evolution processes, employing Weibo users as nodes to construct a public opinion cellular automaton, our experimental analysis reveals a significant similarity exceeding 98% between the proposed model and the actual user participation curve observed on the Weibo platform. Full article
(This article belongs to the Special Issue Multi-Attribute Decision Making and Intelligent Computing in Smart Governance)
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25 pages, 941 KiB  
Article
Project Group Program Generation and Decision Making Method Integrating Coupling Network and Hesitant Fuzzy
by Liwei Qian, Yajie Dou, Chang Gong, Xiangqian Xu and Yuejin Tan
Mathematics 2023, 11(18), 4010; https://doi.org/10.3390/math11184010 - 21 Sep 2023
Viewed by 687
Abstract
Modern urban construction relies on a large number of projects. Project groups are an effective way to manage a large number of projects. In view of the current lack of scientific methods for constructing and evaluating project group programs, which are mainly based [...] Read more.
Modern urban construction relies on a large number of projects. Project groups are an effective way to manage a large number of projects. In view of the current lack of scientific methods for constructing and evaluating project group programs, which are mainly based on subjective experience, this article proposes a scientific method for project group program generation and decision-making. The method proposed in this article applies a multi-layer coupling network to the modeling of project groups and divides projects into planning projects and execution projects to form a heterogeneous coupling network. Then, starting from the principle of project information dissemination, the evaluation indicators of the project group program were defined, and finally, the hesitant fuzzy decision-making method was used to assist in decision making. This article can provide a new method for project group construction and management, and provide strong support for the construction of smart cities and digital governments. Full article
(This article belongs to the Special Issue Multi-Attribute Decision Making and Intelligent Computing in Smart Governance)
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