A connectionist fuzzy case-based reasoning model

Authors:
Yanet Rodriguez;Maria M. Garcia;Bernard De Baets;Carlos Morell;Rafael Bello
Affiliations:
Universidad Central de Las Villas, Santa Clara, Cuba;Universidad Central de Las Villas, Santa Clara, Cuba;Ghent University, Gent, Belgium;Universidad Central de Las Villas, Santa Clara, Cuba;Universidad Central de Las Villas, Santa Clara, Cuba
Venue:
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Year:
2006

Citing 9
Cited 2

Toward memory-based reasoning

Communications of the ACM - Special issue on parallelism
Explorations in parallel distributed processing: a handbook of models, programs, and exercises

Explorations in parallel distributed processing: a handbook of models, programs, and exercises
C4.5: programs for machine learning

C4.5: programs for machine learning
Machine learning, neural and statistical classification

Machine learning, neural and statistical classification
A Review and Empirical Evaluation of Feature Weighting Methods for aClass of Lazy Learning Algorithms

Artificial Intelligence Review - Special issue on lazy learning
Usando conjuntos borrosos para implementar un modelo para sistemas basados en casos interpretativos

International Joint Conference, 7th Ibero-American Conference, 15th Brazilian Symposium on AI, IBERAMIA-SBIA 2000, Open Discussion Track Proceedings on AI
From Computing with Numbers to Computing with Words - From Manipulation of Measurements to Manipulation of Perceptions

Intelligent Systems and Soft Computing: Prospects, Tools and Applications
CAIM Discretization Algorithm

IEEE Transactions on Knowledge and Data Engineering
Improved heterogeneous distance functions

Journal of Artificial Intelligence Research

A Correlation-Based Distance Function for Nearest Neighbor Classification

CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Prediction of Pediatric Risk Using a Hybrid Model Based on Soft Computing Techniques

MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new version of an existing hybrid model for the development of knowledge-based systems, where case-based reasoning is used as a problem solver. Numeric predictive attributes are modeled in terms of fuzzy sets to define neurons in an associative Artificial Neural Network (ANN). After the Fuzzy-ANN is trained, its weights and the membership degrees in the training examples are used to automatically generate a local distance function and an attribute weighting scheme. Using this distance function and following the Nearest Neighbor rule, a new hybrid Connectionist Fuzzy Case-Based Reasoning model is defined. Experimental results show that the model proposed allows to develop knowledge-based systems with a higher accuracy than when using the original model. The model takes the advantages of the approaches used, providing a more natural framework to include expert knowledge by using linguistic terms.