Cervical cancer risk assessment using machine learning integrated fuzzy MCDM methodology.
Hatice Camgöz-AkdagAkin MenekseFatih SahinPublished in: J. Intell. Fuzzy Syst. (2024)
Keyphrases
- risk assessment
- machine learning
- cervical cancer
- fuzzy topsis
- fuzzy multi criteria decision making
- multi criteria decision making
- evidence theory
- multiple criteria decision making
- risk management
- group decision making
- network security
- risk analysis
- risk factors
- decision making
- fuzzy set theory
- information security
- fuzzy logic
- fuzzy numbers
- fuzzy sets
- multi criteria
- statistical methods
- computer vision
- computer aided diagnosis
- power plant
- decision trees
- pattern recognition
- multiple criteria
- soft computing
- intuitionistic fuzzy
- membership functions
- artificial intelligence
- text classification
- decision support system
- rough sets
- computational intelligence
- aggregation operators
- supervised learning
- control system
- image analysis
- data analysis
- case study
- feature selection
- economic impact