ANT_FDCSM: A novel fuzzy rule miner derived from ant colony meta-heuristic for diagnosis of diabetic patients.
Akansha SinghGaurav GuptaPublished in: J. Intell. Fuzzy Syst. (2019)
Keyphrases
- ant colony
- ant colony optimization
- metaheuristic
- fuzzy rules
- diabetic patients
- ant miner
- ant colony optimisation
- genetic algorithm
- simulated annealing
- diabetes mellitus
- optimization problems
- rule base
- optimisation algorithm
- tabu search
- ant colonies
- swarm intelligence
- ant colony algorithm
- aco algorithm
- scatter search
- optimal solution
- fuzzy logic
- search space
- nature inspired
- particle swarm optimization
- fuzzy sets
- particle swarm optimization pso
- traveling salesman problem
- vehicle routing problem
- optimization method
- hybrid algorithm
- fault diagnosis
- evolutionary algorithm
- rule sets
- global optimization
- classification rules
- expert systems
- pheromone trails
- search algorithm
- artificial intelligence