Guest Editors
Prof. Yiming Tang, Hefei University of Technology, China
Prof. Xiaohui Yuan, University of North Texas, USA
Prof. Zhaohong Deng, Jiangnan University, China
Prof. Yong Zhang, Shenzhen University, China
Summary
Fuzzy logic is a science which uses fuzzy sets to discover fuzzy thinking, language form and reasoning mechanism based upon multi-valued logic. Fuzzy logic imitates the uncertain concept judgment and reasoning thinking mode of human brain. Thereinto, fuzzy sets and fuzzy rules are applied to the description system whose model is unknown or uncertain, as well as the control object with strong nonlinear and large lag. As the core of fuzzy logic, fuzzy reasoning does well in solving uncertainty information problems with rules, which are difficult to deal with by conventional methods. Typical fuzzy reasoning strategies incorporate the compositional rule of inference (CRI) algorithm, the Bandler-Kohout subproduct (BKS) algorithm, the triple I method (where “I” denotes implication), the quintuple implication principle (QIP) algorithm, the universal triple I algorithm, the universal quintuple implicational (UQI) algorithm, and so on.
Fuzzy logic is good at expressing qualitative knowledge and experience with unclear boundaries. It can distinguish fuzzy sets, and deal with fuzzy relations, so as to simulate human brain to implement rule-based reasoning. Furthermore, it can effectively handle most of the uncertainty problems caused by the logic break of “exclusion law”.
The purpose of this special issue is to explore current status and future prospects of fuzzy logic, showcasing the latest advancements, challenges, and potential solutions in this rapidly evolving domain. We are particularly interested in (but not limited to) the following aspects:
1. Overview of the current state of fuzzy logic, including key technologies, methodologies, and applications.
2. Analysis of the challenges faced by fuzzy logic and potential strategies to overcome them.
3. Exploration of emerging trends and future directions in fuzzy logic.
From what has been outlined above, this special issue welcomes original research and review papers on all aspects of fuzzy logic.
Keywords
Fuzzy logic; Fuzzy reasoning; Fuzzy systems; Fuzzy control; Collaborative computing; Machine learning; Computer vision; Affective computing; Granular computing; Information security
Published Papers
Login
Register
Submit a Paper
Propose a Special lssue