Data Granulation and Formal Concept Analysis
Document Type
Contribution to Book
Publication Date
6-1-2004
Publication Title
Proceedings of the 2004 International Conference of North American Fuzzy Information Processing Society (NAFIPS'04)
DOI
10.1109/NAFIPS.2004.1337342
ISBN
0-7803-8376-1
Abstract
The following topics are dealt with: Web intelligence and world knowledge; reverse engineering software architecture using rough clusters; fuzzy logic to assist the planning in adolescent idiopathic scoliosis instrumentation surgery; fuzzy modeling estimation of mercury by wetland components; fuzzy logic aircraft environment controller; granular jointree probability propagation; data granulation and formal concept analysis; robust fuzzy clustering of relational data; genetic fuzzy decision agent based on personal ontology for meeting scheduling support system; soft computing agents for e-health: a prototype glaucoma monitoring; soft semantic Web services agent; interpolated linguistic terms; a fuzzy based method for classifying semantically equivalent spatial data sets in spatial database queries; indexing mechanisms to query FMBRs; A parallel fuzzy C-mean algorithm for image segmentation; fuzzy sliding mode control for a singularly perturbed systems; robust tuning for disturbance rejection of PID Controller using evolutionary algorithm; hierarchical genetic algorithms for fuzzy system optimization in intelligent control; rule extraction from a trained neural network for image keywords extraction; license plate recognition system using hybrid neural networks; pattern recognition using the fuzzy Sugeno integral for response integration in modular neural networks; ANFIS Based fault diagnosis for voltage-fed PWM motor drive systems; urban land development based on possibility theory; a fuzzy approach to segmenting the breast region in mammograms.
Recommended Citation
Hashemi, Ray R., S. D. Agustino, B. Westgeest.
2004.
"Data Granulation and Formal Concept Analysis."
Proceedings of the 2004 International Conference of North American Fuzzy Information Processing Society (NAFIPS'04), S. Dick, L. Kurgan, P. Musilek, W. Pedrycz, & M. Reformat (Ed.): 79-83 Alberta, Canada.
doi: 10.1109/NAFIPS.2004.1337342 isbn: 0-7803-8376-1
https://digitalcommons.georgiasouthern.edu/compsci-facpubs/272