International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
A Comparative Analysis of Methods for Pruning Decision Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
A learning process for fuzzy control rules using genetic algorithms
Fuzzy Sets and Systems
Fuzzy and Neural Approaches in Engineering
Fuzzy and Neural Approaches in Engineering
Statistical Control of RBF-like Networks for Classification
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
An Evaluation of k-Nearest Neighbour Imputation Using Likert Data
METRICS '04 Proceedings of the Software Metrics, 10th International Symposium
General C-Means Clustering Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees
IEEE Transactions on Knowledge and Data Engineering
A Preliminary Study on Constructing Decision Tree with Gene Expression Programming
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1
Expert Systems with Applications: An International Journal
Particle swarm optimization: an introduction and its recent developments
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Design of a hybrid system for the diabetes and heart diseases
Expert Systems with Applications: An International Journal
Using Imputation Techniques to Help Learn Accurate Classifiers
ICTAI '08 Proceedings of the 2008 20th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Effective diagnosis of heart disease through neural networks ensembles
Expert Systems with Applications: An International Journal
Intelligent heart disease prediction system using data mining techniques
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
DASC '09 Proceedings of the 2009 Eighth IEEE International Conference on Dependable, Autonomic and Secure Computing
Data Mining with Decision Trees: Theroy and Applications
Data Mining with Decision Trees: Theroy and Applications
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
IEEE Transactions on Information Technology in Biomedicine
Genetically optimized fuzzy decision trees
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Implementation of evolutionary fuzzy systems
IEEE Transactions on Fuzzy Systems
Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This paper presents a particle swarm optimization (PSO)-based fuzzy expert system for the diagnosis of coronary artery disease (CAD). The designed system is based on the Cleveland and Hungarian Heart Disease datasets. Since the datasets consist of many input attributes, decision tree (DT) was used to unravel the attributes that contribute towards the diagnosis. The output of the DT was converted into crisp if-then rules and then transformed into fuzzy rule base. PSO was employed to tune the fuzzy membership functions (MFs). Having applied the optimized MFs, the generated fuzzy expert system has yielded 93.27% classification accuracy. The major advantage of this approach is the ability to interpret the decisions made from the created fuzzy expert system, when compared with other approaches.