Fuzzy Systems and Fuzzy-Statistical Modeling: Theory and Applications
摘要截稿:
全文截稿: 2018-08-30
影响因子: 2.678
期刊难度:
CCF分类: B类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:人工智能 - 3区
Overview
Over the last fifty years fuzzy systems have found numerous successful applications in diverse fields including robotics, intelligent systems, neural network, statistical prediction, consumer electronics and so on. Fuzzy systems have also strongly influenced research and development in other areas of computational intelligence leading to many hybrid systems. Fuzzy set theory has opened up new horizons in thinking, research and development and it will certainly guide us into another half century of progress. Fuzzy systems are actually one approach to nonlinear system approximation. They include Mamdani, Takagi–Sugeno (T–S) and type-2 fuzzy systems but a comprehensive theory remains to be developed.
The objective of this special issue is to explore recent advances in modeling, learning and resoning based on fuzzy systems. It offers a concentrative venue for researchers to make rapid exchange of ideas and original research findings in fuzzy systems and their applications. In particular, new interdisciplinary approaches in fuzzy theory and engineering applications, or strong conceptual foundations in newly evolving topics are especially welcomed. We invite researchers and experts worldwide to submit high-quality original research papers and critical survey articles on a wide range of topics including, but not limited to:
- Machine learning and artificial intelligence using fuzzy techniques
- Image processing using fuzzy techniques
- Fuzzy systems design and optimization
- Soft and granular computating
- High-dimensional data mining
- Pattern recognition and diagnostics
- Fuzzy data analysis, clustering and classification
- Fuzzy logic and its applications in industrial engineering