Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.6
2.2
Journals
Mathematics
Special Issues
Multi-Source Information Fusion and Fuzzy Uncertainty Reasoning in Interdisciplinary Applications
share announcement

Multi-Source Information Fusion and Fuzzy Uncertainty Reasoning in Interdisciplinary Applications

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 2869

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 Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue in the journal Mathematics entitled "Multi-Source Information Fusion and Fuzzy Uncertainty Reasoning in Interdisciplinary Applications". This Special Issue focuses on the theoretical and methodological advances in multi-source information fusion and fuzzy uncertainty reasoning, with particular emphasis on their innovative applications across diverse disciplines. The integration of fuzzy set theory, uncertainty quantification, and decision theory has revolutionized approaches to complex problem-solving, especially in addressing real-world challenges that involve incomplete or imprecise information. This Special Issue will focus on the development of optimization techniques and mathematical analysis methods, while also emphasizing their applications in areas such as public governance, emergency management, disaster management, urban governance, public safety, risk analysis, and extreme climate response, supported by intelligent computing and generative artificial intelligence technologies.

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 250 words) can be sent to the Editorial Office for assessment.

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

  • intelligent computing
  • fuzzy set theory
  • public governance
  • uncertainty quantification
  • generative artificial intelligence
  • engineering applications
  • decision theory
  • risk analysis
  • optimization techniques
  • urban governance
  • public safety
  • mathematical analysis
  • emergency management
  • social governance
  • disaster management
  • extreme climate

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

27 pages, 6078 KB  
Article
A Generative AI-Enhanced Case-Based Reasoning Method for Risk Assessment: Ontology Modeling and Similarity Calculation Framework
by Jiayi Sun and Liguo Fei
Mathematics 2025, 13(17), 2735; https://doi.org/10.3390/math13172735 - 25 Aug 2025
Viewed by 1883
Abstract
Traditional Case-Based Reasoning (CBR) methods face significant methodological challenges, including limited information resources in case databases, methodologically inadequate similarity calculation approaches, and a lack of standardized case revision mechanisms. These limitations lead to suboptimal case matching and insufficient solution adaptation, highlighting critical gaps [...] Read more.
Traditional Case-Based Reasoning (CBR) methods face significant methodological challenges, including limited information resources in case databases, methodologically inadequate similarity calculation approaches, and a lack of standardized case revision mechanisms. These limitations lead to suboptimal case matching and insufficient solution adaptation, highlighting critical gaps in the development of CBR methodologies. This paper proposes a novel CBR framework enhanced by generative AI, aiming to improve and innovate existing methods in three key stages of traditional CBR, thereby enhancing the accuracy of retrieval and the scientific nature of corrections. First, we develop an ontology model for comprehensive case representation, systematically capturing scenario characteristics, risk typologies, and strategy frameworks through structured knowledge representation. Second, we introduce an advanced similarity calculation method grounded in triangle theory, incorporating three computational dimensions: attribute similarity measurement, requirement similarity assessment, and capability similarity evaluation. This multi-dimensional approach provides more accurate and robust similarity quantification compared to existing methods. Third, we design a generative AI-based case revision mechanism that systematically adjusts solution strategies based on case differences, considering interdependence relationships and mutual influence patterns among risk factors to generate optimized solutions. The methodological framework addresses fundamental limitations in existing CBR approaches through systematic improvements in case representation, similarity computation, and solution adaptation processes. Experimental validation using actual case data demonstrates the effectiveness and scientific validity of the proposed methodological framework, with applications in risk assessment and emergency response scenarios. The results show significant improvements in case-matching accuracy and solution quality compared to traditional CBR approaches. This method provides a robust methodological foundation for CBR-based decision-making systems and offers practical value for risk management applications. Full article
(This article belongs to the Special Issue Multi-Source Information Fusion and Fuzzy Uncertainty Reasoning in Interdisciplinary Applications)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop