Extended hedge algebras and their application to fuzzy logic
Fuzzy Sets and Systems
Processing individual fuzzy attributes for fuzzy rule induction
Fuzzy Sets and Systems
Three objective genetics-based machine learning for linguisitc rule extraction
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Data-Driven Discovery of Quantitative Rules in Relational Databases
IEEE Transactions on Knowledge and Data Engineering
Mining Association Rules with Linguistic Cloud Models
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Influential Rule Search Scheme (IRSS)-A New Fuzzy Pattern Classifier
IEEE Transactions on Knowledge and Data Engineering
A PSO-aided neuro-fuzzy classifier employing linguistic hedge concepts
Expert Systems with Applications: An International Journal
Particle swarm optimization based on dynamic niche technology with applications to conceptual design
Advances in Engineering Software
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
Design of adaptive fuzzy logic controller based on linguistic-hedgeconcepts and genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Implementation of evolutionary fuzzy systems
IEEE Transactions on Fuzzy Systems
GA-fuzzy modeling and classification: complexity and performance
IEEE Transactions on Fuzzy Systems
Compact and transparent fuzzy models and classifiers through iterative complexity reduction
IEEE Transactions on Fuzzy Systems
A grid data mining architecture for learning classifier systems
WSEAS Transactions on Computers
Supervised learning classifier systems for grid data mining
CIS'09 Proceedings of the international conference on Computational and information science 2009
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Hierarchical cluster-based multispecies particle-swarm optimization for fuzzy-system optimization
IEEE Transactions on Fuzzy Systems
Precise plant classification within genus level based on simulated annealing aided cloud classifier
Expert Systems with Applications: An International Journal
A hybrid particle swarm optimization approach for clustering and classification of datasets
Knowledge-Based Systems
WSEAS Transactions on Information Science and Applications
International Journal of Intelligent Information and Database Systems
International Journal of Intelligent Information and Database Systems
Hi-index | 12.05 |
Data mining techniques are widely used in many fields. One application of data mining in the field of the botany is numerical taxonomy. In the present work, a particle swarm optimization-aided fuzzy cloud classifier based on attribute similarity (PSOCCAS) is used for plant taxonomy by two datasets. Firstly, the proposed classifier is been tested by employing it for the benchmark classification data sets, Fisher's iris data. The testing accuracy is found very encouraging. The performance of our proposed system is only bettered by some genetic algorithm (GA) or evolutionary algorithm (EA)-based fuzzy systems which showed fantastic results. Then for further validation and broadening application, the PSOCCAS has been presented for quantitative features evaluation, 'expected species' selection and successful classification of three sections in genus Camellia (belongs to the family Theaceae). The selected quantitative features are almost those selected in previous works. The method is able to produce 100% accurate classification results in genus Camellia. It is a very simple and robust method to divergences in plant taxonomy. No extensive preprocessing is required. The classification is performed with comparatively comprehensive features than those used in our previous work. The method utilizes the inherent nature of the data in performing various tasks. Consequently, the method can be used for plant numerical taxonomy.