ReSySTER: A hybrid recommender system for Scrum team roles based on fuzzy and rough sets.
Ricardo Colomo PalaciosIsrael González-CarrascoJosé Luis López CuadradoÁngel García-CrespoPublished in: Int. J. Appl. Math. Comput. Sci. (2012)
Keyphrases
- rough sets
- fuzzy sets
- rough set theory
- fuzzy logic
- soft computing
- fuzzy set theory
- fuzzy rough sets
- knowledge reduction
- membership functions
- decision rules
- dominance relation
- imprecise data
- rough fuzzy
- granular computing
- rule extraction
- attribute reduction
- approximate reasoning
- rough sets theory
- fuzzy rules
- rough set model
- set pair analysis
- fuzzy numbers
- information entropy
- fuzzy measures
- pattern recognition
- data analysis
- data mining
- inductive machine learning
- interval valued
- project management
- rough approximations
- tool for data mining
- information granules
- rule generation
- approximation spaces
- decision table
- fuzzy relations
- expert systems
- information granulation
- continuous valued attributes
- fuzzy model
- artificial intelligence
- approximation operators
- decision trees
- topological relationships
- equivalence relation