Rough Sets Based on Possibly Indiscernible Classes in Incomplete Information Tables with Continuous Values.
Michinori NakataHiroshi SakaiKeitarou HaraPublished in: AISI (2019)
Keyphrases
- incomplete information
- rough sets
- rough set theory
- granular computing
- fuzzy sets
- partial information
- rough approximations
- decision rules
- query answering
- attribute reduction
- autonomous agents
- data mining
- rough sets theory
- pattern recognition
- database
- dominance relation
- continuous valued attributes
- databases
- numerical data
- approximation spaces
- data analysis
- categorical attributes
- decision table
- fuzzy logic
- missing information
- artificial intelligence
- first order logic
- attribute values
- concept lattice
- knowledge discovery
- expert systems
- neural network
- fuzzy rough sets