S7: Multi-valued Cognitive Intelligence
Prem Kumar Singh
Gandhi Institute of Technology and Management, India
Abstract
The precise representation of uncertainty and its fluctuation in human cognition is addressed as one of the major issues. To deal with that recently three-way as well as m-way fuzzy space is introduced. These types of data set used to found in feedback collection, recommender system and other soft data set collection. The problem is precise mathematical representation of uncertainty in soft data set and its visualization for knowledge processing tasks. This issue will focus on each methods dealing with multi-valued attribute data sets exists in human cognition.
The topics include, but are not limited to the following:
- Advances in Set Theory
- Cognitive Sciences
- Complex fuzzy set and its extension
- Complex data analysis
- Computational Intelligence
- Concept lattice and visualization
- Fuzzy sets and its extension
- Granular Computing
- Knowledge discovery and representation
- m-polar fuzzy set
- Multi-way data analysis
- Neutrosophic set and its application
- Three-way concept analysis
- Three-way decision space
- Uncertainty measurement