Recent Advances in Fuzzy Set Theory
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: closed (15 March 2022) | Viewed by 2669
Special Issue Editor
Special Issue Information
Dear Colleagues,
For various reasons, including measurement difficulty, system behaviour and lack of data, the theory of uncertainty becomes relevant in modelling for real-life cases. Mathematical modelling has become very popular and well established for the analysis of real-world problems. It was previously observed that modelling with uncertainty is very different from crisp system modelling. It is better to use uncertainty modelling for real-world problems in order to obtain better understanding, prediction, and interpretation.
Uncertainty theory is not new. Fuzzy set theory is a very popular tool to describe the uncertainties in theoretical as well as practical problems. However, different types of uncertain environments arise day by day, requiring more advances in the field as previous strategies may not apply new problems. Additionally, it is not necessary that we apply all types of uncertainty settings in the same problem. So, defining uncertainty parameters and their application with real-world problem is currently a challenging issue.
Dr. Sankar Prasad Mondal
Guest Editor
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Keywords
- interval uncertainty modelling
- fuzzy set theory modelling
- intuitionistic fuzzy set theory modelling
- neutrosophic set theory modelling
- biological modelling with uncertainty
- modelling management sciences problems with uncertainty
- engineering problems with uncertainty.
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