A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm.
Michela FazzolariRafael AlcaláFrancisco HerreraPublished in: Appl. Soft Comput. (2014)
Keyphrases
- high accuracy
- computational cost
- computational complexity
- classification systems
- learning algorithm
- trade off
- dynamic programming
- computational efficiency
- cost function
- k means
- optimization algorithm
- objective function
- computationally efficient
- classification algorithm
- worst case
- space complexity
- np hard
- genetic algorithm
- classification accuracy
- constrained optimization
- induction algorithms
- continuous attributes
- bias variance
- active learning