Engineering Applications of Artificial Intelligence
Special Issue on Emerging Issues and Applications of Type-2 Fuzzy Sets and Systems
摘要截稿:
全文截稿: 2019-03-15
影响因子: 4.201
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 2区
• 小类 : 自动化与控制系统 - 2区
• 小类 : 计算机:人工智能 - 2区
• 小类 : 工程:电子与电气 - 2区
• 小类 : 工程:综合 - 1区
Overview
In 1965, Prof. L. Zadeh introduced the concept of Fuzzy Sets (FSs) to represent the uncertain system parameters. However, in many real-world systems, uncertainty appears due to multiple reasons. In such a scenario, uncertainty modelling capabilities of the Type 1 (T1) or traditional FSs are quite limited. Due to which, Zadeh himself brought the concept of higher order or Type-m FSs in 1975. However, for more than a decade, these types of FSs got very little attention from the scientific community. Interestingly, from 1990, researchers started investigating the T2 FSs, or more specifically the Interval Type-2 (IT2) FSs and successfully applied the same for realistic uncertainty modelling in a number of applications.
Very recently, a new research trend has been noticed, where researchers have shifted their focus from the IT2 FSs to the General Type 2 (GT2) FSs and exploring better results in many applications. This has further been motivated by some of Prof. J. M. Mendel´s recent works, where he has nicely shown that if proper care is taken during the designing phase, an IT2 Fuzzy Logic System (FLS) shall always produce better (or at least equal) performance than a T1 FLS. Similarly, a GT2 FLS has the capability to give better (or at least equal) performance than a IT2 FLS. Nevertheless, growth of research carried out on the T2 FSs and T2 FLSs are far less than the volume of research conducted on T1 FSs.
This warrants more and more research attention from the scientific community on this important topic, especially since everyday newer and newer systems are emerging across all the domains of science and engineering, e.g. social networks, big data analytics, cyber security, cyber-physical systems, cloud computing etc. Therefore, this special issue aims to introduce cutting edge research concepts o on T2 FSs and Systems and their applications in a number of emerging systems including (but not limited to) the following:
- T2 FS based uncertainty modelling in Cyber-Physical Systems
- Social Network Analysis under T2 Fuzzy Uncertainty
- T2 FLSs in Cyber Security
- Secure Communication
- T2 FS based uncertainty modelling in Big Data Analytics
- Multi-media Applications with Fuzzy Uncertainty
- CWW (Computing with words)
- T2 FSs for Image Processing
- T2 FSs in Evolutionary Optimization
- T2 FSs and T2 FLSs in Machine Learning
- T2 FSs and T2 FLSs Deep Learning
- T2 FLSs for Power Systems
- T2 FSs for Energy Optimization
- T2 FSs and T2 FLSs Green Computing
- T2 FS based uncertainty modelling Vehicle Routing Problem
- And other application areas with T2 FS based uncertainty modelling