Abstract
Fuzzy risk assessment methods encompass a wide range of techniques used in various fields such as finance, engineering, and environmental science. The main objective of this study is to provide an overview on risk assessment methods used in the literature. An investigation was conducted to analyze research trends by examining the distribution of countries, journals, author keywords, and the used methods by integrating fuzzy sets. For the analysis, the data spanning from 1977 to 2024 were collected from the Scopus database. Between 2017 and 2022, there has been a significant rise in the number of scientific publications focusing on fuzzy risk assessment analysis. China has a significantly higher number of publications on fuzzy risk assessment compared to other countries. In the studies, different methods from many fields ranging from machine learning to statistical decision making have been used in integration with fuzzy logic. Analytic hierarchy process (AHP) exhibits a notably high usage count, followed by other commonly used methods Fuzzy Inference systems (FIS) and Failure modes and effects analysis (FMEA). This study provides insights into the popularity and prevalence of various fuzzy based risk assessment methods, guiding researchers, and practitioners in selecting appropriate methodologies for their studies or applications.
Original language | English |
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Title of host publication | Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference |
Editors | Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 639-648 |
Number of pages | 10 |
ISBN (Print) | 9783031671944 |
DOIs | |
Publication status | Published - 2024 |
Event | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Duration: 16 Jul 2024 → 18 Jul 2024 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 1089 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | International Conference on Intelligent and Fuzzy Systems, INFUS 2024 |
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Country/Territory | Turkey |
City | Canakkale |
Period | 16/07/24 → 18/07/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Keywords
- Fuzzy Sets and Extensions
- Risk Analysis
- Risk Assessment
- Risk Management
- Risk Methodologies